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Deep Learning Software Engineer, Inference - New C...
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. NVIDIA seeks a Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models. You’ll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins—including CUTLASS, OAI Triton, NCCL, and CUDA kernels—to implement and optimize model serving pipelines. What you'll be doing: - Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI. - Scale performance of DL models across different architectures and types of NVIDIA accelerators. - Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions. - Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions. What we need to see: - Pursuing or recently completed a MS or PhD Computer Engineering, Computer Science, EECS, AI or related field or equivalent experience. - Software development experience. - Excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus. - Prior experience with training, deploying or optimizing the inference of DL models in production is a plus. - Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus. - GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus. Ways to Stand out from The Crowd - Contribute to deep learning software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field. - Experience with Multi GPU Communications (NCCL, NVSHMEM) NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Principal Deep Learning Algorithm Engineer
At NVIDIA, we are at the forefront of the constantly evolving field of large language models, and their application in agentic and reasoning use cases. As the scale and complexity of these LLM systems continues to increase, we are seeking outstanding engineers to join our team and help shape the future of LLM inference. Our team is dedicated to pushing the boundaries of what's possible with LLMs by improving the algorithmic performance and efficiency of systems that represent them. We constantly reflect on how to improve these systems, developing new inference algorithms and protocols, improving existing models, and seamlessly integrating improvements to ensure NVIDIA's solutions can efficiently handle large-scale, sophisticated tasks. What you'll be doing: - Research and Development: Explore and incorporate contemporary research on generative AI, agents, and inference systems into the NVIDIA LLM software stack. - Workload Analysis and Optimization: Conduct in-depth analysis, profiling, and optimization of agentic LLM workloads to significantly reduce request latency and increase request throughput while maintaining workflow fidelity. - System Design and Implementation: Design and implement scalable systems to accelerate agentic workflows and efficiently handle sophisticated datacenter-scale use cases. - Collaboration and Communication: Advise future iterations of NVIDIA software, hardware, and system by engaging with a diverse set of teams at NVIDIA and external partners and formalizing the strategic requirements presented by their workloads. What we need to see: - BS, MS, PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience). - 15+ years of experience in deep learning and deep learning systems design. - Proficiency in Python and C++ programming - Strong understanding of computer architecture, and GPU/parallel datacenter computing fundamentals. - Proven interest in analyzing, modeling, and tuning application performance. Ways to stand out from the crowd: - Experience in building large-scale LLM inference systems, especially those involving compound AI. - Experience with processor and system-level performance modeling. - GPU programming experience with CUDA or OpenCL. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Customer Program Manager - Generative AI
We are seeking a Senior Customer Program Manager - Generative AI to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, Tier-1 partners, and OEMs. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators. What you will be doing: - Define and manage program schedules, deliverables, and turning points aligned with customer roadmaps and requirements. - Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales. - Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives. - Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle. - Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance. - Provide ongoing post-deployment sustaining support, serving as case manager for high priority concerns within the generative AI domain. - Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets. - Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment. What we need to see: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience. - 8+ years of program/project management experience in the semiconductor, IT, automotive, or embedded systems industries. - Strong technical background in hardware and/or software product development with experience working closely with OEMs and ODMs for datacenter's deployments. - Consistent track record of leading complex, global programs through full development lifecycles into deployment and production. - Excellent program management, communication, and organizational skills with the ability to prioritize issues and drive cross-functional alignment. - Consistent track record to coordinate with global teams and navigate multi-cultural, multinational business environments. - Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives. - Willingness to travel as required (up to 10%), and thrive in fast-paced, dynamic environments. Ways to stand out from the crowd: - Track record running end-to-end hardware and software product development in industries such as datacenter/server and semiconductors. - Prior experience in large-scale enterprise/server platforms specific to generative AI vertical. - Strong leadership in matrixed collaboration, conflict resolution, and consensus-building. - Proven expertise in leading all aspects of production schedules, optimizing line yields, and resolving sophisticated field quality challenges. - Strong background thriving in dynamic, high-growth environments, with proven adaptability to obscurity, rapid change, and matrixed team structures. With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Senior Technical Program Manager, Deep Learning Fr...
Deep Learning Software is looking for a Technical Program Manager to lead software programs for Deep Learning Training and Inference Frameworks, with the goal of supporting NVIDIA's top AI researchers and software engineers in driving the future of deep learning. This position requires managing software programs in a highly matrixed environment using industry-leading processes to navigate an active and evolving roadmap. The TPM will work alongside senior management and coordinate efforts with partners across the company to ensure alignment and exceptional execution. They will engage closely with our software, hardware, and infrastructure teams to foster strong engineering collaborations. Furthermore, they will develop and standardize planning, reporting, and execution practices and metrics to achieve ambitious objectives in a rapidly changing environment. What You'll Be Doing: - Collaborate with hardware, software, and model program managers, product managers and engineering teams to deliver Deep Learning Frameworks programs on existing and new hardware. - Engage with cross-company teams (hardware/software engineering, product, QA, compliance) and drive alignment on release scope, milestones, risk management, and dependencies. - Guide software programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues. - Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions. - Define and implement standard processes for open-source contribution and release management within the Nvidia AI/ML ecosystem. - Report on overall program status, providing insights and recommendations to senior management. - Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes. What We Need To See: - Postgraduate degree in Computer Science, Artificial Intelligence, Mathematics or equivalent experience. - 10+ years software program management experience including proven track record leading global projects, adaptable to multiple time zones in fast-paced software development environments. - Proven experience with delivering large software programs, spanning multiple layers of the software stack. - Ability to think strategically and tactically and to build consensus to make programs successful by engaging and moderating successful engagements with engineering and product teams. - Excellent communication, technical presentation, and attention to detail skills with a shown ability to multitask in a dynamic environment with shifting priorities and changing requirements. - Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git). Ways To Stand Out From The Crowd: - Experience with Deep Learning Frameworks (PyTorch, Jax, etc.), ML compilers (XLA, Triton, etc.), GPU Technology, open-source development. - Prior experience in production software development, release management, DevOps with a consistent track record of driving process improvements and measuring efficiency. - Exposure to NVIDIA GPU programming and software stack (CUDA Toolkit, cuDNN, TensorRT, NCCL, etc.). - Engineering background. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. deeplearning
Infrastructure Software Engineer, Deep Learning Li...
We are now looking for a Infrastructure Software Engineer for Deep Learning Libraries! NVIDIA's Deep Learning Libraries Group is seeking excellent software engineers to enable the next wave of NVIDIA's highest performing deep learning libraries. The role spans multiple products, including TensorRT and TensorRT-LLM. The mission is to design and develop scalable, modular infrastructure that streamlines development, build, and test across NVIDIA's diverse set of platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models. Join our technically diverse team of software engineers and infrastructure experts to design the systems that enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning platforms. What you'll be doing: - Designing and developing software for testing and analysis of our codebases - Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries - Developing throughout the software stack, from the user experience down to the cluster and database layers - Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Slurm, Jenkins, Docker, CMake, Github, Gitlab, Jira, etc) - Advancing state of the art in those industry-standard tools What we need to see: - BS or equivalent experience or higher degree in Computer Science or Computer Engineering - 2+ years of relevant experience - Strong programming skills in Python (or similar) and familiarity with C/C++ development - Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins) - Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel) - A pragmatic approach to solving problems and collaboration - Passion for "it just works" automation and enabling team members Ways to stand out from the crowd: - Experience designing and developing automation in Jenkins with Groovy (or similar) - Background with distributed systems and cluster/cloud computing, especially with Kubernetes - Experience designing and developing unit and integration test frameworks - Hands-on experience with code coverage and static code analysis tools - Experience with GPU, mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, L4T, or similar) This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many deep learning software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, we want to hear from you!
Senior Software Engineer - Applied Research in Rob...
As the world’s leading accelerated computing company, NVIDIA is paving the way in robotics, self-driving cars, machine learning, supercomputing, and visualization. We are building a team that will help define the next generation of robotics acceleration across NVIDIA platforms, and we would love for you to join us. We are looking for a Senior Software Engineer - Applied Research in Robotics to research, prototype, and optimize robotics solutions that use NVIDIA’s Programmable Vision Accelerator (PVA), a power-efficient, deterministic VLIW/SIMD processor used across NVIDIA DRIVE, Jetson, and IGX platforms. In this role, you will identify high-impact robotics workloads and map them to efficient execution on the NVIDIA’s Programmable Vision Accelerator, or PVA. You will work at the intersection of robotics systems, sensor and actuator processing, heterogeneous computing, and algorithm optimization. Your work will help improve latency, determinism, power efficiency, and throughput for real-time robotics systems. What You’ll Be Doing: - Research and analyze end-to-end robotics software stacks to discover, characterize, and prioritize high-impact workloads that can be accelerated on PVA. - Design, implement, test, and optimize PVA operators for robotics workloads, including end-to-end integration into real robotics pipelines. - Research parallelization and data movement strategies for mapping robotics algorithms onto PVA efficiently! - Work across camera, RADAR, LiDAR, IMU, perception, planning, and actuator paths to understand algorithmic requirements, memory behavior, timing constraints, and real-time execution needs. - Build benchmarks, validation infrastructure, and technical mentorship for robotics teams adopting PVA acceleration! - Collaborate with robotics, hardware architecture, compiler, system software, sensor, and platform teams to define acceleration strategies and interfaces. - Support internal and external teams developing and optimizing robotics algorithms on PVA. - Leverage modern AI-assisted development tools and agentic workflows to accelerate workload analysis, algorithm creation, benchmarking, and performance exploration. - Write high-quality, maintainable C/C++ code, performance tests, user documentation, and validation infrastructure for robotics acceleration workflows. What We Need To See: - BS/MS or PhD in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or equivalent experience. - 5+ years of experience in robotics software, embedded systems, accelerated computing, computer vision, sensor processing, perception systems, or related areas. - Strong robotics algorithm knowledge, with practical understanding of perception, sensor fusion, control, planning, or actuator pipelines. - Strong C/C++ programming skills, including low-level debugging, performance profiling, optimization, and production-quality software development. - Experience analyzing algorithms and mapping workloads to heterogeneous hardware such as CPUs, GPUs, DSPs, SIMD/VLIW processors, or domain-specific accelerators. - Deep understanding of embedded systems, SoC architecture, memory hierarchy, cache behavior, DMA, real-time scheduling, and performance bottlenecks. - Experience with embedded Linux and/or QNX development environments. - Experience with robotics middleware, ROS 2, real robot bring-up, sensor integration, or actuator/control paths. - Strong communication, collaboration, analytical, and problem-solving skills in a fast-paced multi-functional environment. Ways To Stand Out from the crowd: - Background with NVIDIA Jetson, DRIVE, IGX, ISSAC, VPI, NvMedia, or PVA. - Experience building robotics applications that use CUDA or other accelerators for perception, planning, simulation, or real-time sensor processing. - Familiarity with safety-conscious development processes such as ISO 26262, IEC 61508, or similar standards. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence.
Senior Compiler Engineer - PVA
NVIDIA is now looking for a Senior Compiler Engineer to join our Programmable Vision Accelerator (PVA) Tools Team! Are you ready to push the boundaries of what’s possible? NVIDIA has revolutionized parallel computing, and the development of the CUDA programming model has fueled its power. NVIDIA developed a powerful computing platform (PVA) focused on vision and deep learning applications. PVA is being used in many of the largest autonomous vehicle and robotics projects in the world. Join us in solving real-world problems with innovative and groundbreaking compiler development! What you'll be doing: - Crafting and implementing new features for the PVA platform and SDK. - Collaborating with application teams to address interesting and relevant compilation challenges. - Working closely with team members on projects related to compiler development. - Bringing to bear existing technologies and other available resources in the compiler development process. - Driving the future of Python, CUDA, and other domain specific languages. What we need to see: - Bachelor’s Degree in Computer Science, ECE, or related field (Ph.D. or Master’s preferred) or equivalent experience. - 8+ years of experience developing production-quality compilers and tools. - Deep understanding of compiler internals, front-ends, and optimizers. - Strong programming fundamentals, especially in C/C++ and Python, with knowledge of parallel computer architectures and optimizations. Ways to stand out from the crowd: - Experience with LLVM and MLIR. - Familiarity with C++, CUDA. - Knowledge and experience with DL networks. - Passion for compiler development and a motivation to work on groundbreaking technologies! With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We invite you to join our team with experienced individuals from around the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you. LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Lead Post-Silicon Validation Engineer
We are seeking Lead Post-Silicon Validation Engineer within the GPU Engineering Team to help drive development of future GPUs be used in 3D graphics, deep learning, HPC and automotive markets. Make the choice to join our dynamic team today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence! What you'll be doing: - In this role, you will manage and help lead post-silicon bringup, characterization, and productization of the memory system for NVIDIA's GPU products. - Develop, qualify, and work on compliance of memory system software and firmware. - You will be the primary contact for customers internal and external, and DRAM vendors for silicon issues relating to memory. - Contribute through the GPU development cycle from concept, Plan of Record, Architecture, Micro-architecture, design, validation, physical design and tape out. What we need to see: - Bachelors or Masters in Electrical Engineering, Computer Engineering or related fields (or equivalent experience) - 12+ years of proven experience with three years and working with memory systems in the lab. - Direct experience in taking an SOC/GPU from concept level to production. - Experience in DRAM, high speed DRAM Interfaces like HBM, GDDR and LPDDR and their timing, analog, and digital requirements. - In Pre-Silicon phase, work with the design and verification teams to define features required for smooth bringup and productization. - In Post-Silicon phase, bring the GPU from initial power-on through production. - Ability to understand the Top N issues in a myriad of data. - Ability to facilitate and make decisions looking at all the spokes in a decision wheel. - Excellent written, verbal and technical communications. Ways to stand out from the crowd: - Experience in working with DRAM vendors to debug post-silicon issues and drive solutions. - Proven record of implementing processes and methodologies. - System C or C++ development skills, or relevant programming experience. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior ASIC Physical Design Engineer, Netlisting
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. We are now looking for a motivated Senior ASIC Physical Design Engineer, Netlisting to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. What you'll be doing: - You will drive physical design of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level, with a focus on netlist-related aspects such as equivalence checking, asynchronous checking including clock domain crossing checks and MTBF analysis, logic synthesis, netlist quality checks, etc. - Help in all aspects of physical design, such as driving timing convergence, timing constraints generation and management, and ECO generation and implementation. What we need to see: - BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years’ experience or MS (or equivalent experience) with 3+ years’ experience. - Expertise in logic equivalence checking/FV required from RTL to tapeout with industry-standard tools. Deep understanding of hardware architecture and hands-on skills in RTL/logic design for timing closure. - Experience in clock-domain-crossing checking, MTBF analysis, either with industry-standard tools or in-house tools. - Background with logic synthesis at either block or full-chip level, at project execution and/or flow development. - Strong experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence. - Expertise and in-depth knowledge of industry standard EDA tools in related fields. - Proficiency in programming and scripting languages, such as, Perl, TCL, Make, Python, etc. Ways to stand out from the crowd: - Experience in logic synthesis and equivalence checking/FV. Familiarity with industry tools and flow. - Strong hands-on debugging capability and problem-solving skills. - Background in DFT timing closure for various modes e.g. scan shift and capture, transition faults, BIST, etc. - Candidates who demonstrate experience or a strong drive to improve workflows and productivity through effective AI utilization will stand out. NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Systems Software Engineer, Data Center Plat...
NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks — ensuring servers are fully functional and validated as per requirement before mass deployment in data centers. What you’ll be doing: - Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs. - Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution. - Using simulation and emulation to left-shift early design and initiate new concepts and innovations. - Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs. - Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and process optimization. - Issue Resolution & Customer Support: Drive root cause analysis and resolution of bring-up failures. Collaborate with partners, ODMs, and customers for technical support. - Working with design architects to come up with proper diagnostic test tools and automation for qualifying the early system software and firmware stack. What we need to see: - Strong experience of computer system and firmware architecture and design for server products. Experience with CPLD or FPGA design and RTL. - Solid experience of end-to-end delivery of high-end enterprise server products from definition to customer deployment. - Solid understanding of low-level interfaces between SBIOS, BMC and OS like I2C/SPI/PCIe/JTAG etc. System boot and initialization, PCIe enumeration, high speed I/O at platform level for enterprise systems. - Experience on working closely with HW teams, ODMs and vendors to introduce and support server platforms. Experience with C/C++ development, bash/python for scripting, and solid hands-on debugging skills in embedded Linux operating environments. - Experience on using simulation such as QEMU and emulation tools to perform validation of early design work. Experience with accelerating design and debug by using AI tools. - You should possess excellent written and oral communication skills, good work ethics, high sense of teamwork, love to produce quality work and commitment to finish your tasks every single day. - You are a self-starter who loves to find creative solutions to exciting problems. - Bachelor’s Degree or higher in Electrical Engineering or Computer Science (or equivalent experience), and 8+ years of experience, with demonstrated strong ability as individual contributor. Ways to stand out from the crowd: - Experience with early design and power on debug - Proven leader who is willing to tackle challenging issues and work in a fast-paced environment NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Engineer - Server Manageability
We are looking for a Senior Software Engineer - Server Manageability! NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. What you’ll be doing: - Designing, implementing, and delivering innovations for managing GPU based AI servers with focus on OOB management, firmware development, server architecture and building systems for enterprise. - Leading BMC firmware design with a global team of engineers. - Designing and developing performance optimized active monitoring BMC solutions using DMTF Standards including MCTP, Redfish, SPDM and PLDM specifications. - Instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module and maintain detailed unit test case reports. - Providing software quality reports based on static analysis, code coverage, CPU load. - Working with security team to ensure developed code is in line with product security goals. Working closely with hardware teams to influence hardware design and review HW architecture & schematics. - Driving definition and end to end delivery of all platforms by collaborating with internal teams, ODMs/OEMs and industry partners for AI servers. - Working with QA/Test architects to come up with proper test tools and automation for qualifying the whole system software and firmware stack. What we need to see: - Domain expertise in BMC Firmware development on X86 or ARM Platforms including BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc. - Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment. - Solid understanding of low-level interfaces between SBIOS, BMC and OS like I2C/SPI/PCIe/JTAG etc. PCIe enumeration, IO at platform level for enterprise systems. - Experience working closely with HW teams, ODMs and vendors to introduce and support server platforms. - Experience with C/C++ development, bash/python for scripting, and debugging skills in embedded Linux operating environments. - You should possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to exciting problems. - Bachelor’s degree, Master’s Degree, or a PhD; in Electrical Engineering or Computer Science (or equivalent experience) and 5+ years of experience, with demonstrated strong ability as individual contributor. Ways to stand out from the crowd: - Contributor to industry standards like Open Compute, IPMI, DMTF Standards, and OpenBMC open source - Proven record in delivering BMC for enterprise servers with OpenBMC firmware stack NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
AI and ML Infra Software Engineer, GPU Clusters -...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are currently hiring an AI/ML Infrastructure Software Engineer at NVIDIA to join our Hardware Infrastructure team. As an Engineer, you will play a crucial role in boosting productivity for our researchers through implementing advancements across the entire stack. Your primary responsibility will involve working closely with customers to identify and resolve infrastructure gaps, enabling innovative AI and ML research on GPU Clusters. Together, we can create powerful, efficient, and scalable solutions as we shape the future of AI/ML technology! What you will be doing: - Collaborate closely with our AI and ML research teams to understand their infrastructure needs and obstacles, translating those observations into actionable improvements. - Monitor and optimize the performance of our infrastructure ensuring high availability, scalability, and efficient resource utilization. - Help define and improve important measures of AI researcher efficiency, ensuring that our actions are in line with measurable results. - Collaborate with diverse teams, including researchers, data engineers, and DevOps professionals, to build a seamless and coordinated AI/ML infrastructure ecosystem. - Stay on top of the latest advancements in AI/ML technologies, frameworks, and effective strategies, and promote their implementation within the company. What we need to see: - Recent graduate with a MS, PhD or equivalent experience in Computer Science or related field, with proven experience in AI/ML and HPC workloads and infrastructure. - Hands-on experience in using or operating High Performance Computing (HPC) grade infrastructure as well as in-depth knowledge of accelerated computing (e.g., GPU, custom silicon), storage (e.g., Lustre, GPFS, BeeGFS), scheduling & orchestration (e.g., Slurm, Kubernetes, LSF), high-speed networking (e.g., Infiniband, RoCE, Amazon EFA), and containers technologies (Docker, Enroot). - Expertise in running and optimizing large-scale distributed training workloads using PyTorch (DDP, FSDP), NeMo, or JAX. Also, possess a deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines. - Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms. - Passion for continual learning and keeping abreast of new technologies and effective approaches in the AI/ML infrastructure field. - Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds. NVIDIA provides competitive salaries and a comprehensive benefits package. Our engineering teams are expanding rapidly due to exceptional growth. If you're a passionate and independent engineer with a love for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Engineer, AI Agent Compute
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As a Senior Software Engineer, you will help drive the design and development of our agent compute delivery platform centered around our custom agent sandbox cloud VM solution. Your responsibility will be to improve NVIDIA's agent sandbox services into running full agentic use cases that are scalable and secure. You will partner with teams all across NVIDIA to enable their AI workflows. This is a role for someone who wants to build at the frontier of AI, creating the platform for next-gen agentic services! What you will be doing: - Leading cloud VM platform initiatives from architecture and systems design through implementation, testing, and deployment. - Designing, building, and operating scalable services that support secure, isolated agent workloads. - Developing automation for infrastructure provisioning, VM lifecycle management, application delivery, configuration, monitoring, and remediation. - Collaborating with engineering teams across NVIDIA to translate business and AI workflow requirements into dependable platform capabilities. - Improving the platform’s reliability, scalability, observability, performance, and operational efficiency. - Continuously raising standards for code quality, testing, documentation, infrastructure security, and production readiness. What we need to see: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent experience. - 8+ years of experience in software, platform, infrastructure, or cloud engineering, with a focus on backend or distributed systems. - Strong understanding of distributed-systems concepts, including service communication, asynchronous processing, failure handling, retries, idempotency, and eventual consistency. - Familiarity with PostgreSQL and MongoDB, including data modeling, migrations, and performance. - Understanding of secure software development, cloud security, identity and access management, secrets management, and network security. - Experience with AI-native development and coding agents to multiply developer efficiency. - Strong communication skills and a collaborative, team-oriented approach. Ways to stand out from the crowd: - Deep expertise in Go and TypeScript. - Production experience with Temporal for durable execution, workflow orchestration, and long-running distributed processes. - Comprehensive understanding of infrastructure security, workload isolation, container security, and zero-trust principles. - Experience building platforms for AI agents or sandbox execution. - Excited to contribute to a high-trust, collaborative culture while bringing a unique perspective to the team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and enjoy learning while having fun, then what are you waiting for? Apply today! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Silicon Reliability Engineer
NVIDIA has continuously reinvented itself over three decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, which only we can pursue, and which matter to the world. This is our life’s work: to amplify human inventiveness and intelligence. Make the choice to join us today. We are seeking an outstanding candidate for Silicon Reliability Engineer to drive and utilize cutting edge technologies to deliver high performance products while ensuring world class reliability. What you will be doing: - Work closely with wafer foundries and various functional groups such as Design, Advanced Technology Group and Operations to develop process reliability requirements for new technology nodes. - Drive foundries for NVIDIA’s test vehicle qualifications and process reliability improvement before taping out new products and support product bring-ups and quals. - Perform wearout reliability assessments and provide reliability guidance to design teams for Design for Reliability on the next generation products. - Provide reliability Vmax, aging guardband guidelines to product teams and develop reliability methodology to optimize product reliability performance. - Collaborate with foundries to plan and perform stress tests and build reliability models for extrinsic failure mechanisms. - Interact with foundries for excursion materials and assess a reliability risk for disposition. What we need to see: - Deep understanding of cutting-edge semiconductor process technologies, reliability physics, and acceleration models. - Familiar with wearout failure mechanisms (TDDB, BTI, HCI, EM, SM) and models, wafer level reliability tests, test structures, and industry standards (JEDEC, AEC). - Proficient in reliability statistics, and hands on experience in failure rate calculations for early life, useful life and wearout period of reliability life curve. - Good knowledge of semiconductor process defects/root causes, failure analysis and defect screening methodologies. - Solid understanding in reliability degradation mechanisms in logic and memory circuits. - Hands on skills in reliability data analysis, particularly using statistical tools such as JMP. - Excellent written and verbal communication, and presentation skills. - PhD or MS in Electrical Engineering, Physics, or a related major (or equivalent experience). - 8+ years of overall experience in semiconductor reliability. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Principal Product Manager, AI Frameworks
At NVIDIA, we meet customers where they are on their AI journey on our GPUs - this means we build best in class frameworks in OSS and support a robust ecosystem of other OSS frameworks. NVIDIA's PyTorch Compilers team builds and upstreams to the stack that sits between PyTorch and NVIDIA hardware — spanning torch.compile, emerging compiler substrates, and the agent-native optimization infrastructure being built for the next era of accelerated computing. This role will build and direct product strategy across the full arc. It involves shipping the latest hardware features in torch.compile today. It also includes developing the canonical shared representation across NVIDIA's compiler and runtime ecosystem. Additionally, it focuses on crafting how agents will engage in deep learning performance work in the future. We are looking for someone who understands compilers and can operate at the intersection of systems architecture, framework engineering, and customer-facing product strategy working directly with engineering leadership and NVIDIA's most sophisticated external customers — including frontier model labs, inference/training and RL framework teams such as vLLM, SGLang, torchtitan, megatron-core, and hardware co-design programs. As NVIDIA Product Managers, we partner with NVIDIA leaders to define clear product strategy, and marketing team teams to build go-to-market plans. The Product Management organization at NVIDIA is a flexible, strong, and impactful group focusing on enabling deep learning across all GPU use cases and providing great products for our users. We seek an individual with a rare blend of product skills, technical depth, and passion to join our team. Does that sounds familiar? If so, we would love to hear from you! What you'll be doing: Own the strategy for NVIDIA's PyTorch compiler portfolio , including: - torch.compile — maintain and evolve NVIDIA's upstream PyTorch path, drive HW support, resolve customer issues across dynamic shapes, kernel performance, and compile overhead - define the roadmap and go-to-market for NVIDIA's shared representation layer across frameworks, compilers, kernel libraries, and runtimes - Agent-native compiler workflows — shape the product vision for how agentic systems will participate in optimization tasks - Inter-kernel optimization features — build product requirements for capabilities like megakernels and ensure they ship with demonstrated real-world value Lead product strategy across the roadmap: - Define Now/Next/Later priorities in close partnership with engineering leads - Translate ecosystem signals (vLLM RFCs, SGLang CUDA Graph patterns, TorchTitan GraphTrainer plans, Meta's upstream priorities) into prioritized product decisions Engage directly with customers and partners: - Represent NVIDIA at PyTorch contributor and ecosystem forums; Define success metrics and release criteria: - Establish performance gates and adoption milestones - Set bar for what "proven" means for new optimizations before committing to roadmap What we need to see: - 15+ years in technical product management, with 5 years owning a compiler, runtime, or low-level systems product at scale - BS or MS degree in Computer Science, Electrical Engineering, a related technical field, or equivalent experience. - Experience with OSS-first products and upstream contribution strategy - Track record of shipping and driving adoption for developer efficiency and performance oriented infrastructure products - Understands how inference frameworks use compiler technology — where they adopt torch.compile, where they go around it, and why - Understands how new hardware features create new compiler requirements - Can write clear, defensible strategy documents and knows how to scope an early-access release: - Strong instinct for where to concentrate investment vs. spread it Ways to stand out from the crowd: - Deep understanding of the PyTorch compiler stack and how to influence strategy in this ecosystem - You've worked on how agents participate in systems-level optimization workflows - Familiarity with MLIR-based compiler infrastructure and how it maps to NVIDIA hardware primitives - Can reason about inter-kernel optimization tradeoffs to define the right bar for "proven" - Comfortable reading kernel performance profiles and debug how torch.compile can help any model LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Engagement Tech Lead, Developer Relations - AI Age...
We are looking for a Engagement Tech Lead, Developer Relations - AI Agents to drive strategic partnership with leading ISVs who are delivering AgentOps platforms or services using accelerated computing and Agentic AI. The Developer Relations Manager is a high-profile role in NVIDIA. In this important role, you will be an evangelist of Nvidia’s accelerated computing and AI technologies and products from NVIDIA Cuda-x libraries, Nemotron, NIM, NeMo libraries, Agent Toolkits to Blueprints. You will be leading engagement with LLMOps, GenAIOps and AgentOps developers and help them accelerate their workflow and integrate the state-of-art NVIDIA technology. You will manage the relations with partners, drive technical engagement, product integration, marketing and go-to-market. You will play an important role in identifying product gaps and defining future features for NVIDIA's products. An ideal candidate has excellent soft skill, a proven technical background in MLOps, LLMOps, GenAIOps, AgentOps, generative AI, agentic AI, and accelerated computing, a strategic understanding of the AI market landscape, and experience with AI ecosystem development. What you'll be doing: - Developing AgentOps ecosystem strategy. - Identifying the leading ISV companies, starting/managing/growing partnership relations. - Working closely with partners to identify acceleration and integration opportunities. - Driving technical engagement and product collaboration with partners to support partners’ technology, product and solution development with NVIDIA products and technologies. - Collaborating with NVIDIA’s product, marketing, business development and sales teams, advocate partners’ solutions, showcase NVIDIA enabled solutions, and drive joint GTM with partners. - Partner with NVIDIA’s product/engineering teams to influence the NVIDIA product and roadmap development based on the voice of partners. What we need to see: - BS/MS/PhD in Computer Science or Engineering or equivalent experience - Strong leadership skills, excellent communication abilities and collaborative attitude - Proven expertise of AgentOps, GenAIOps, LLMOps, generative AI, and agentic AI. - 12+ years of related work experience Ways to stand out from the crowd: - Background with NVIDIA GPUs, platforms and SDKs. - Experience of building strategic partnerships and a versatile ISVs ecosystem - Experience of deep learning, generative AI, agentic AI research, product, engineering development. NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior System Firmware Engineer - BIOS UEFI
NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. What you’ll be doing: - Designing, implementing, and delivering innovations for GPU based Client products with focus on firmware development. - Working with a global team of BIOS(UEFI) developers on NVIDIA client designs. - Designing and developing performance optimized UEFI/BIOS solutions using industry Standards. - Instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module and maintain detailed unit test case reports. - Providing software quality reports based on static analysis, code coverage, CPU load. - Working with security team to ensure developed code is in line with product security goals. - Partner closely with hardware teams to influence hardware design and review HW architecture & schematics. - Working with QA/Test architects to come up with proper test tools and automation for qualifying the whole system software and firmware stack. What we need to see: - Domain expertise in System BIOS (UEFI) Firmware development on X86 or ARM Platforms. - Strong experience with IBVs or EDK2 Firmware architecture. - Solid experience of end-to-end delivery of client products from definition to customer deployment. - Solid understanding of low-level interfaces between BIOS (UEFI) and OS like I2C/SPI/PCIe/JTAG etc. PCIe enumeration, IO at platform level for client products. - Experience working closely with HW teams, ODMs and vendors to introduce and support client platforms. - Experience with C/C++ development, bash/python for scripting, and debugging skills in embedded Linux/Windows operating environments. - You should possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to exciting problems. - Bachelor’s Degree or higher; in Electrical Engineering or Computer Science or equivalent experience. - 8+ years of experience, with demonstrated strong ability as individual contributor. Ways to stand out from the crowd: - Proven record in delivering BIOS(UEFI) for ARM architecture based client products - Experience working with IBVs or IBV solutions NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Distinguished Engineer, Storage – AI Cloud
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. AI Cloud Data Storage NVIDIA DGXC Storage org handles some of the fastest training and inference tasks. Every GPU cycle depends on a storage platform built to keep tens of thousands of accelerators continuously busy. It maintains exabytes of data securely and powers the largest AI workloads worldwide across cloud, neocloud, and on-prem setups. With the growth of accelerated computing, storage is essential. It can make the difference between effective GPU use and wasted potential and between launching a frontier model on time or missing the deadline by months. We seek a Distinguished Engineer to lead NVIDIA's storage strategy for AI Cloud across the Neocloud Provider (NCP) and Cloud Service Provider (CSP) ecosystem. You will direct the architecture of high-performance parallel file systems, object stores, and block storage at exabyte scale. You will stay hands-on, collaborating with engineers, SREs, partners, and storage vendors. You will apply NVIDIA's AI tools to increase your productivity and that of those you impact. This is a distinctive prospect to establish the storage framework of the AI era at the company that introduced accelerated computing. What you'll be doing: - Lead the multi-year technical plan for AI Cloud Storage expansion across NCPs — determine the reference architecture, capabilities, performance and durability SLOs, qualification methodology, and roadmap for the high-performance file, object, and block storage that each NCP must offer to qualify for NVIDIA GPU allocation. - Serve as the chief storage architect with deep hands-on involvement. Lead key reviews of storage builds and investigate root causes of complex production problems. Develop prototype reference implementations to minimize risks in new initiatives. Make final technical decisions on NCP storage deliveries using measurable SLOs. Apply AI tools heavily to amplify your technical influence throughout the program. - Define the standard for "production-ready" in NCP storage, including durability and availability SLOs measured in 9s. Ensure sustained efficiency per TiB, observability, blast-radius containment, and reduced operational toil. Influence GPU delivery gating by requiring AI Cloud to accept GPU capacity only after verifying storage-focused ancillary services. - Develop and guide the architectural direction by working closely with collaborators in training, inference, and accelerated-computing product lines. Coordinate with site-reliability, operations, networking, and security colleagues. Work together with external cloud providers, neocloud operators, and storage vendors to align on a common architecture. - Develop the open-source path forward for AI storage. Establish and guide an open-source strategy that broadens the AI storage ecosystem. Advocate for a GitHub-first, security-first stance. Engage deeply with upstream open-source communities. Formalize the APIs, SDKs, and protocols allowing partners and the industry to build, integrate, and create with NVIDIA at the AI storage level. - Lead an engineering culture centered on AI tools. Regularly use modern AI coding and agentic tools in your daily tasks. Show what 10× engineering means at NVIDIA. Distribute patterns, prompts, and evaluation harnesses across the storage organization. - Partner with peer Distinguished and Principal storage architects across the organization to tackle the most difficult, long-term technical challenges. Make automation the only acceptable solution for infrastructure management tasks like live software upgrades, node and drive replacements, capacity rebalancing, cross-DC data movement, and dataset lifecycle. Establish root-cause analysis and corrective action rigor on every major incident. Design the storage layer for workloads spanning the next several GPU generations, including disaggregated inference with storage-backed KV caching, large-scale write-once-read-many inference patterns, exabyte regional object stores, and cross-DC dataset versioning and copy management. - Mentor and develop senior, principal, and distinguished engineers across the storage organization and nearby business units. Raise the technical bar broadly. Represent NVIDIA externally in standards bodies, open-source communities, customer briefings, and industry forums (FAST, SC, OCP, SNIA, Linux Storage Summit). What we need to see: - BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field — or equivalent experience. - A minimum of 18+ years of practical engineering experience in storage technology is needed. This involves extensive involvement with a high-performance parallel file system like Lustre, GPFS / Spectrum Scale, WEKA, VAST, BeeGFS, DAOS, or its equivalent, handling data at multi-petabyte scale. Candidates must also have wide-ranging expertise in object storage (S3 / Swift-class) and block storage (NVMe-oF, NVMesh-class, iSCSI). - A track record of crafting and managing storage platforms at exabyte scale for performance-critical workloads — AI training, HPC, video, or hyperscale data lakes — including direct responsibility for durability, availability, and performance SLOs measured in 9s. - Demonstrated ability to set technical strategy across business units and partner organizations. You have driven multi-year storage architectures adopted by multiple teams, vendors, or customers. You can point to measurable outcomes such as GPU utility lift, $/PB reduction, incidents eliminated, and time-to-bring-up compressed. - You are 100% hands-on in engineering. You write and review production code yourself. When a bug requires it, you read Lustre, NFS, kernel, NVMe-oF, or SPDK source code. You also run scale tests or recovery drills personally instead of delegating. - Strong proficiency in at least one systems language (C, C++, Rust, or Go) and proficiency in Python; comfortable in the Linux kernel storage and networking stacks (block layer, RDMA / RoCE / InfiniBand, NVMe, page cache, VFS, multipath). - Frequent daily use of advanced AI coding and autonomous tools, including specific examples showing how you accelerated building, coding, debugging, validation, and operations. Also, share your perspective on future trends. - Excellent written and verbal communication. You can write a one-pager that aligns a VP. You can also write a six-pager that aligns an entire org. You can explain a deep technical trade-off to an SRE, a vendor CTO, and an internal customer in the same week. - Comfort operating in a 24/7 production environment where storage incidents directly impact GPU revenue, with a security-first approach baked into every build. Ways to stand out from the crowd: - Proven background in designing or managing storage solutions for AI training or inference at 10k+ GPU scale, demonstrating clear improvements in GPU utilization or reducing I/O bottlenecks. - Open-source contributions or maintainership in Lustre, NFS, SPDK, NVMe / NVMe-oF, CSI, Ceph, MinIO, RocksDB, or related projects. - Built or led a disaggregated-inference or Inference-Time-Compute storage architecture — KV caching to fast in-cluster or GPU-adjacent storage, WORM at scale, storage-aware scheduling, or database-integrated inference. - Public technical contributions — patents, peer-reviewed papers (FAST, SOSP, NSDI, OSDI, ATC), keynote talks, or RFCs — that demonstrate expertise and leadership in storage for AI infrastructure. NVIDIA led the way in accelerated computing. Today, our AI infrastructure drives global intelligence, changing industries worldwide. The AI Cloud Storage group forms the base that maintains the world's largest GPU fleet's productivity. Every model trained, every inference served, and every checkpoint saved passes through systems we develop, construct, and manage. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Global AI Natives Sales Lead, GTM
We are looking for Sales GTM lead to drive our partnership and sales go-to-market strategies with AI Native ISVS, Foundational Model Providers within the NVIDIA WorldWide Field Operations. The ideal candidate will have a deep understanding of the AI Native and foundational model category and their unique routes to market. Have experience leading co-marketing, co-sell initiatives that span from incubation to repeatability through a wide-ranging partner ecosystem. What you will be doing: - Develop go-to-market and co-selling strategies with AI Native partners that outline activities and expectations to drive NVIDIA’s full stack offerings. - Act as an extension of the AI Native’s sales team to identify key accounts with NVIDIA for joint selling engagement so we can collectively drive a repeatable model. - Works cross functionally with key NVIDIA Industry sales teams and NVIDIA partner ecosystem to handle pipeline and promote/educate on influence revenue generated from joint customer wins. - Collaborates with our Global Account Managers and Product organization to help set the GTM priorities with our AI Native ISVs, so we have mutual success in the development of our joint solution offerings in the market. - Secure sponsorship from target ISVs to implement a sales GTM partnership plan of record - Define business goals, track and report progress and work on joint GTM plans - Devises sales enablement plans and to help the account executives, overlay solution specialists and Solution architects improve their abilities on NVIDIA GPU accelerated computing and AI software. - Acts as the global liaison between regional ISV teams and the product groups at NVIDIA and the partner. What we need to see: - 15+ years of shown success with partner alliance management, cloud service providers and recent AI native partnerships. - High energy with effective communication and written skills. - Experience addressing senior leaders and large audiences. - Proactive, creative, flexible and uses good judgment to accomplish tasks on schedule with minimal direction and supervision. - Familiarity with AI computing and the ability to scale up technical knowledge to serve the needs of demanding technology companies. - Ability to connect with all team members successfully and effectively at any level. - Enjoys working in a fast-paced environment with multiple priorities. - Bachelor’s degree or equivalent experience. Ways to stand out from the crowd: - Track record of partnering with a foundational model provider (OpenAI, Anthropic, Gemini, X.ai , Meta, Mistral etc) or AI Native ISVs that are transforming their categories such as Baseten, Sierra, Cursor etc. - Passion for winning, a proven interest in business strategy, and strong collaboration skills with a wide variety of internal team members. - Self-starter, self-confident individual with integrity and accountability, highly motivated, and attracted to building out a growth area which represents a meaningful opportunity at NVIDIA. - Graphics, AI/deep learning, high performance computing, cloud datacenter, and/or edge computing development/deployment experience desirable. - Comfortable defining and implementing complex program schedules with intimate understanding of dependencies, critical paths, key and critical landmarks, and deliverables. NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD for Level 5, and 248,000 USD - 396,750 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Technical Product Marketing Manager - AI In...
We are looking for a Senior Product Marketing Manager for the AI Infrastructure Solutions product marketing team. You will be alert to the latest industry trends and dynamics, and work to align teams across NVIDIA to industry developments. You will work closely with engineering to understand the technical capabilities of the NVIDIA platform. You will also assess alternative solutions to find opportunities to position NVIDIA product leadership. Additionally, you will partner with go-to-market teams to develop messaging, positioning and content to showcase the differentiated value of the NVIDIA platform. Want to join a fun, creative company that is at the forefront of outstanding Generative AI technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting areas including artificial intelligence and high performance computing. Come grow your career to new heights at one of the fastest growing technology companies! What you'll be doing: - Market Analysis - You will collaborate with engineering teams to distill product features, product performance both for NVIDIA and alternative products, providing positioning and mentorship for tactical responses. - Market Intelligence – Analyze and distill industry disclosures and market signals into succinct reports and actionable strategies to promote NVIDIA value propositions, and then deliver to audiences across NVIDIA. - Market Positioning – Be a go-to market positioning authority for NVIDIA product marketing, campaign marketing, investor relations, and sales teams, providing positioning mentorship and data-based evidence to support NVIDIA’s best-in-class platform. - Content Creation – Develop marketing content, including blog posts, webinars, developer tutorials, and sales tools and more to communicate NVIDIA platform value proposition. - Product Launches – Craft positioning guidance to deliver new products to market. What we need to see: - 6+ years of work experience in product marketing and/or product management in the technology industry - Bachelor’s degree or equivalent experience in Engineering, Computer Science, or a related technical field - Proven analysis and product marketing skills. - Strong communication and interpersonal skills with a talent for articulating opportunities and concerns. Ways to stand out from the crowd: - Good knowledge of GPU/CPU architectures, as well as training and inference performance metrics - Proven track record to lead and drive cross-organization teams, both to capture and present information to diverse groups. - Outstanding communication and presentation abilities. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you! LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Solutions Architect, HPC and AI
We are seeking a Senior Solutions Architect with strong hands-on experience in deploying, debugging, and optimizing training and inference workloads on large-scale GPU clusters. As we support customers and partners across Europe in training models on ground breaking GPU infrastructure, we are looking for someone who enjoys solving complex challenges at the intersection of High Performance Computing and AI. Similarly, inference is increasing in its complexity with explosion of MOE models and disaggregated execution making inference truly a HPC workload. You don’t need to have expertise in every skill we mention, but we are especially interested in candidates who bring deep knowledge in at least few key areas to enable large scale AI workloads. If you can demonstrate hands-on experience, we would love to hear from you. What You’ll Be Doing: - Collaborating with NVIDIA’s training framework developers and product teams to stay ahead of the latest features and help partners to adopt them effectively. - Assisting with deployment, debugging, and improving the efficiency of AI workloads on extensive NVIDIA platforms. - Benchmarking new framework features, analyzing performance, and sharing actionable insights with both customers and internal teams. - Working directly with external customers to solve cluster performance and stability issues, identify bottlenecks, and implement effective solutions. - Build expertise and guide customers in scaling workloads efficiently and reliably on the latest generation of NVIDIA GPUs. - Contributing to Europe’s Sovereign AI initiative by helping customers implement advanced resiliency features within AI training pipelines. What We Need To See: - BS, MS, PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related engineering field—or equivalent practical experience. - 8+ years of experience in accelerated computing technologies at cluster scale, ideally including work with NVIDIA platforms. - Strong programming skills in at least one of the following languages: C, C++, or Python. - Practical experience identifying and resolving bottlenecks in large-scale training workloads or parallel applications. - Hands-on experienced in profiling and debugging large parallel applications. - Solid understanding of CPU and GPU architectures, CUDA, parallel filesystems, and high-speed interconnects. - Experienced in working with large compute clusters with an understanding of their internal scheduling and resource management mechanisms (e.g. SLURM or Cloud based clusters). - Proficient knowledge of training pipelines and frameworks, encompassing their internal operations and performance attributes. Ways To Stand Out From The Crowd: - Experience in debugging training pipelines running on thousands of GPUs in production environment. - Hands-on experience with performance profiling and optimizations using tools like Nsight Systems, Nsight Compute and good understanding of NCCL, MPI and low-level communication libraries. - Ability to debug stability issues across the entire stack: parallel application, training frameworks, runtime libraries, schedulers, and hardware. - Solid understanding of the internal workings of LLM frameworks such as PyTorch, Megatron-LM, or NeMo, and how they affect compute layers like CPUs, GPUs, network and storage or understanding of inference tools such as vLLM, Dynamo, TensorRT-LLM, RedHat Inference Server or SGLang.
Senior Mixed Signal and Analog Circuit Designer
We are looking for a Senior Mixed-Signal / Analog Circuit Designer – someone who is excited to join a growing group of diverse individuals responsible for handling challenging high-speed mixed-signal circuit designs. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. What you'll be doing: - You will be part of an analog team developing high-speed chip interfaces and complex analog functions that enable our graphics processing units (GPU) and SoC products (Tegra) - Design state-of-the-art mixed-signal circuits in deep sub-micron CMOS technologies. - Work closely with physical/layout engineers to floorplan and implement physical design of these functions. - Support debug, characterization and support product through high-volume production. - If you have the dream to learn and explore new technologies and have good analytical skills, this is the ideal position for you. What we need to see: - MSEE or PhD in Electrical Engineering with a minimum of 5 years of relevant circuit design experience. - Proven understanding of analog circuit layout concepts in submicron CMOS technologies - You have experience in more than one of the following areas: digital links for display interfaces (such as HDMI, LVDS, DVI, MIPI PHY, Display Port), USB, low-jitter clock synthesis using PLL techniques, IO pads, high-speed serial links, and ADC. - Able to communicate in spoken and written English - Work effectively in a team, good communication skills, enthusiasm and positive energy. Proficiency in scripting languages like perl, python, skill etc. - Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like HSpice, Finesim, XA). An expert with Cadence custom circuit design tools - particularly virtuoso - Experience running and debugging DRC and LVS with verification tools We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Senior System Software Engineer – SDK and Algorith...
As the top tier artificial intelligence computing company, we are paving the way with innovations in self-driving cars, machine learning, super-computing, gaming, and visualization. We are building a team that will truly change the world and would love for you to join us. We are seeking a senior system software engineer to design and code computer vision software and help create the SDK for our Programmable Vision Accelerator (PVA) engine in the Tegra SoC platform. You will join a team of skilled software developers in crafting highly optimized computer vision, signal processing and machine learning algorithms for specialized DSP hardware. You will also help other internal and external customers to efficiently develop or map and optimize complex algorithms on the PVA’s VLIW/SIMD hardware. And you will also enhance the PVA SDK which enables others to develop for the PVA. We seek engineers with excellent leadership, communication, interpersonal, and analytical skills as well as a real passion for computer vision. What you will be doing: - Develop and improve the SDK for internal and external customers who are developing on the PVA. - Develop and Optimize Algorithms to efficiently run on PVA. - Work with internal and external customers to help them develop and optimize algorithms on the PVA. - Provide technical leadership through your software development experience. - Help set technical direction and feature set for the PVA SDK. - Write effective, maintainable, and well-tested code. Enable automated testing. - Collaborate, learn, and grow skills with NVidians. What we need to see: - Bachelor's or MS in Electrical Engineering, Computer Engineering, Computer Science or related field (or equivalent experience). - 8+ years of work experience writing high-performance software. - Consistent record of developing high-performance computer vision, image processing, radar or lidar signal processing software on DSPs, GPUs and/or CPUs. - Deep familiarity with SDKs for heterogeneous accelerators and understanding of the necessary components including compilers, debuggers, profilers, runtime APIs, documentation. - Strong software development skills in C++, including low-level debugging and performance profiling. - Experience with Linux-based or QNX development environments. - Ability to write clear technical documentation. - Strong communication and interpersonal skills. Ways to stand out from the crowd: - Direct experience designing and shipping a programming model for a programmable hardware accelerator and programming in SIMD/VLIW processors. - Experience with compiler, debugger, linker or toolchain development, particularly using LLVM. - Background with ISO 26262 and IEC 61508 or equivalent quality/safety processes. - Demonstrated ability to use agentic AI tools effectively as a force multiplier in day-to-day engineering, including prompt design, agent orchestration, and validating AI-generated code in performance-critical or safety-critical contexts. - Curiosity about applying LLMs and agentic workflows to DSP and accelerator SDK problems, such as auto-generating kernels, optimizing schedules, synthesizing test vectors, or building AI-assisted developer experiences for PVA users. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
Principal Engineer - Enterprise Content and AI Dat...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by incredible technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. We are looking for an outstanding Senior Art Director to learn, understand, and bring to life our company story in physical and virtual event formats. Come join the team and see how you can make a lasting impact on the world! NVIDIA is hiring a Principal Engineer to lead three interconnected and strategic platform charters at the intersection of information security, enterprise collaboration, and AI — forming the backbone of how NVIDIA protects sensitive content, governs enterprise data access, and powers the next generation of AI agents at scale. These platforms span sensitive-information protection and DLP, a central data governance layer that controls access to enterprise content across email, messaging, document stores, and search, and an enterprise AI knowledge platform that ingests and validates content for reliable consumption by AI agents — with a consistent focus on access control fidelity, export-control enforcement, and production readiness. This is a high-impact individual contributor role with a clear path into engineering leadership and management. We are looking for a technically strong engineer who is eager to grow beyond IC execution — someone who can own platform strategy, influence cross-functional stakeholders, and eventually step into leading and growing a team. Strong cross-functional partnership across Security, Legal, Finance, and AI platform teams is essential from day one. What You Will Be Doing: Sensitive Information Protection & Remediation - Own the roadmap for sensitive-information detection and remediation — partnering with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust. - Lead build-vs-buy decisions and vendor evaluations to determine what to invest in internally versus augment with third-party DLP or search tools. Enterprise Data Access & Governance - Drive production rollout and self-service onboarding for the enterprise data access platform, spanning connectors across email, messaging, document stores, and search (Outlook, Teams, Slack, Confluence, OneDrive, SharePoint, Google Drive, Glean). - Design and implement export-control enforcement and long-term audit logging — including authorization checks, schema design, data masking, retention, and RBAC controls. Evaluate third-party partners that could extend the platform for NVIDIA's customer-facing go-to-market motions. Enterprise AI Knowledge Platform - Drive integration of enterprise content sources — document stores, wikis, and cloud drives — into the AI knowledge platform, ensuring content is accurate, fresh, and access-controlled for agent consumption. - Define production readiness gates and maintain a clear ownership boundary: this team owns integration correctness and quality, not full platform operations. Leadership & Cross-functional Coordination - Serve as the technical lead across all three workstreams, aligning stakeholders in Security, Finance, Legal, and AI platform teams and driving clarity on ownership and priorities. - Mentor engineers and foster a culture of documentation, runbooks, and operational rigor; demonstrate readiness to grow into an engineering management role. What We Need To See: - Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience). - 15+ years of experience building and operating large-scale enterprise platforms, with a track record of growing technical scope and influence beyond individual execution. - Strong foundation in backend systems, distributed systems, and high-performance computing — experience with large-scale data processing, indexing pipelines, and systems designed for reliability and scale. - Background in enterprise security, data governance, or compliance platforms — familiarity with classification, remediation workflows, access control models, and audit requirements is a plus. - Experience building or integrating secure API platforms, data connectors, or enterprise SaaS integrations at scale (e.g., Confluence, SharePoint, Google Drive, Slack, Teams, or similar). - Proven ability to drive cross-functional alignment across Security, Legal, Finance, and platform engineering teams. - Excellent written and verbal communication skills; ability to translate complex technical tradeoffs into executive-level clarity. - Demonstrated interest in growing into engineering leadership — experience mentoring peers, leading projects, or taking on informal leadership responsibilities is a strong signal. - Comfortable holding ambiguity and driving decisions in a fast-paced, high-stakes environment. Ways to Stand Out From The Crowd: - Experience with AI/LLM data pipelines, vector stores, or RAG architectures — particularly in connecting enterprise content sources to AI platforms with strict access controls. - Hands-on experience with Databricks or similar platforms for audit logging, data governance, and RBAC. Familiarity with Glean or similar enterprise search/DLP products and their integration patterns. - Experience with vendor evaluation and build-vs-buy decisions for enterprise security or content platforms. - Ability to leverage AI and agentic automation to drive operational efficiency and reduce engineering toil. - Track record of leading platform migrations, tenant consolidations, or governance modernization efforts. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior AI Training Performance Architect
We are now looking for a Senior AI Training Performance Architect NVIDIA is seeking a senior engineer who is obsessed with performance analysis and optimization to help us squeeze every last clock cycle out of AI training, the workload driving the design and construction of the largest and most powerful compute systems in the world. If you are willing to work across all layers of the hardware/software stack - from GPU architecture to the application code - to achieve peak performance, we want to hear from you. This role offers the opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution. Join us and help design and build the world's most powerful compute systems! What you will be doing: - Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms. - Identifying performance bottlenecks of AI training on GPUs, prioritizing and then solving problems across the key AI training workloads. - Implement production-quality software across multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks. - Build and support NVIDIA submissions for MLPerf Training benchmarks. - Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies. - Develop tools to automate workload analysis, optimization, and other critical workflows. What we want to see: - PhD in CS, EE or CSEE (or equivalent experience) with 5+ years of relevant experience; or MS with 8+ years of experience. - Strong background in deep learning and neural networks, particularly in training. - Solid understanding of computer architecture and familiarity with GPU architecture fundamentals. - Proven background in analyzing and tuning application performance. - Proven experience with processor and system-level performance modeling. - Proficiency in programming with C++, Python, and CUDA. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Cell Modeling and Verification Engineer
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! The NVIDIA VLSI team is looking for a Senior Cell Modeling and Verification Engineer with strong experience in hardware design and methodologies to help develop NVIDIA's ground breaking ASIC products and work hands on with new NVIDIA hardware to ensure it meets design, feature, and quality objectives. Our team is at the intersection of circuit design and digital design to help craft the most power-efficient and performance leading SoCs and GPUs to push the state of the art ASIC Verilog modelling. What you will be doing: - Work with sophisticated technologies and develop behavioral model and verification for custom mixed signal design cells that would be used on all the NVIDIA products. - Use Verilog, SystemVerilog, Perl, or Python and understanding of PLL and other high-speed interconnects to model, verify, emulate/prototype mixed-signal designs. - Collaborate with cross function teams with regards to library build, cell integration, ASIC verification and DFT simulation. - Document, implement, and deliver fully verified and high performance RTL to achieve design targets. What we need to see: - Bachelors or Masters in Electrical Engineering or Computer Engineering (or equivalent experience). - 3+ years of relevant experiences - Hands-on experience with RTL simulation and waveform debug. - Strong understanding of Verilog HDL. - Scripting experiences and skills using Python or Perl. - Knowledge of fundamental digital design and logic design concepts. Ways to stand out from the crowd: - Previous digital design experience is a plus. - Previous experience running simulations in Verilog. - Shown ability to collaborate with many groups and communicate technical details. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Engineer, Hardware Tools and Metho...
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing! NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. The NVIDIA Clocks group is looking for a dedicated and motivated Software developer with particular interest in algorithms and RTL Design. Understanding both Software and Hardware principles will be a key requirement for this role. What you'll be doing: - Architect, design, develop and support tools for RTL generation across all NVIDIA products - Architect automated workflows for supporting deliverables to multiple cross functional teams - Improve algorithms (in C++) for automated connectivity, auto logic insertion and post processing Verilog RTL - Improve quality of existing tools and flows used by the team What we need to see: - BS or MS (preferred) degree or equivalent experience in CE or EE - At least 3+ years of work experience - Strong coding skills in C++ - Good understanding of ASIC Design and understanding of Verilog RTL - Strong interpersonal and collaboration skills. Ways to stand out from the crowd: - Prior experience in RTL design (Verilog), verification and synthesis. - Proficiency in C++, Perl, Python, Make scripting. - Knowledge of Clocks/Resets design and verification With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you. LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior SOCD Applied AI Engineer
Nvidia's SOC Design (SOCD) team is looking for an Applied AI Engineer who is passionate about eliminating bottlenecks in SOC integration workflows through intelligent automation. If you are driven to build AI-powered tools, agents, and automation solutions to dramatically reduce cycle time and manual effort, come join us. You will be working directly with SOCD execution and methodology teams to identify areas that can be accelerated with the use of AI services, from RAG-grounded knowledge systems and LLM-powered assistants to multi-step agents that plug into the internal design infrastructure! What you'll be doing - Develop LLM-powered tools for high-value execution tasks: design review summarization, signoff status aggregation, integration checklist enforcement, CI/CD pipeline gating, and cross-team status reporting. - Build and deploy RAG-based knowledge systems grounded in internal design documentation and execution artifacts. - Design AI-assisted coding workflows, including agent-based development tools, reusable prompt templates, and structured skills to accelerate engineering productivity. - Own reliability and evaluation of AI systems, including logging, tracing, prompt regression testing, and output validation frameworks. - Collaborate closely with SOCD execution and methodology teams to scope problems, validate solutions, and define metrics for productivity gains from deployed automation. What we need to see - BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience) - 6+ years of experience building production-grade software systems. - Proven experience shipping AI/LLM-powered applications, agents, or automation workflows into production environments. - Strong Python skills with the ability to design, prototype and productize AI-enabled services, APIs, integrations, automation workflows, and internal tools. - Practical experience building LLM-powered agents or agentic workflows, with hands-on use of Claude Code, OpenAI Codex, Cursor, or equivalent coding agents to improve development workflows. - Hands-on experience with LLM application frameworks (LangChain, LlamaIndex, or equivalent) and RAG architectures — including chunking, embedding models, vector databases, and retrieval design. - Solid software engineering fundamentals and production mindset, including system design, API design, testing, CI/CD, code quality, observability, security, databases, containers, and distributed or event-driven systems. - Ability to identify repetitive, high-friction, or knowledge-intensive workflows and turn them into practical AI-enabled tools, automations, or assistants that improve productivity and operational efficiency. - Demonstrated end-to-end ownership of engineering solutions, from architecture and development to deployment, integration, and ongoing operations/support. - Excellent communication skills and a collaborative, proactive approach. Ways to stand out from the crowd - Advanced AI techniques: fine-tuning or domain-specific prompt engineering (e.g., adapting models to understand RTL patterns); experience with MCP (Model Context Protocol) or similar tool-calling standards for interoperable agent ecosystems; multi-agent orchestration frameworks. - Knowledge of ASIC development and SOC integration to better understand user needs. - Experience building lightweight internal tools or full-stack applications (e.g., React/TypeScript frontends with FastAPI backends) to surface AI capabilities. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you. LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Director, AI Tools
NVIDIA is hiring an engineering director to enable and accelerate best of AI tools adoption and seamless integrations into NVIDIA services, to greatly enhance productivities within the company. As an engineer director on AI Tools, you will be responsible for analyzing start-of-the-art AI technologies, understanding NVIDIA workflows and requirements, and fully enabling the best AI tools inside the company. You should bring deep AI industry experience and technology insights to develop an AI Tools enablement roadmap. You will develop technologies to accelerate AI adoption and optimize AI development for a wide range of NVIDIA workflows. You will work with a large number of cross-organizational leaders to use AI tools to improve NVIDIA productivity in general. We are building a team that will truly change the world with AI. Are you passionate about using AI to transform how we develop products and how we work everyday? We are excited to have a mission driven AI leader like you join our team! What you’ll be doing: - Responsible for building industry insights into state-of-the-art AI tools - Work closely with organizational leadership and developers to understand NVIDIA AI transformation needs - Accelerate NVIDIA productivity by enabling best state of the art AI systems - Work external partners to adopt and develop AI technologies to address NVIDIA growth needs. What we need to see: - BS (MS preferred) or equivalent experience in EE/CS or related technology fields with 15+ overall years of work experience with 6+ years of management experience. - Deep AI knowledge and industry insights on latest AI technology innovations - Proven record on AI native development, well versed with AI technologies including LLM, ML, Agentic development, and all the common AI tools from frontier provides and the OSS community - Proven record on developing and executing highly complex products and team management - Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams. - A lot of energy to execute fast and willingness to learn and adapt quickly, to match the speed of AI innovations, and deliver with Speed of Light (SOL) Ways to stand out from the crowd: - Proactively track AI technology trends, build insights, and collaborate with vendors early to address feature gaps before NVIDIA adoption. - Prior experience in designing and managing large software projects at enterprise scale with AI. - Strong track record on team and stakeholder management across multiple organizations We have some of the most forward-thinking and versatile people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. We are building a team that will truly change the world. If you are passionate about new technologies, care about software quality and productivity, and want to be part of the future of AI, I would love for you to join us. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 292,000 USD - 442,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Software Configuration Management Engineer – Hardw...
For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life. NVIDIA runs a very large GitLab environment, supporting 10s of thousands of engineers and massive repositories across the globe. Our Software Configuration Management (SCM) Tools and Infrastructure group is looking for a top SCM architect. You will tackle the challenges that we face with operating at scale to produce a best-in-industry solution and enable us to continue to provide unprecedented performance and reliability for our users. You will take on the challenges that come with operating and scaling our ever-growing GitLab deployment. In this role, you will design and code processes and automation tools to improve productivity managing and administering the SCM systems and applications used by our globally distributed engineering teams. What You’ll Be Doing : - Responsible for the full SCM environment including application, OS, and server hardware components, developing the continued automation and innovation needed for our large environment - Create new solutions to improve the reliability and performance of our ever-growing infrastructure, and work with automated orchestration tools to deploy those improvements to hundreds of systems worldwide - Be part of a global team and will evaluate technology alternatives, work closely with other project members to specify solutions, craft schedules, and lead ongoing enhancements and support - Lead or contribute to GitLab upgrades and migrations, architectural reviews and design docs, root cause analysis and systemic fixes - Learn and greatly improve the daily productivity of the world’s top chip designers and software engineers What We Need to See : - MS (preferred) or BS in Computer Science (or equivalent experience) or a related field with at least 3+ years of experience - Deep understanding of SCM processes and large-scale, multi-site GitLab environments (experience with other SCM tools such as Perforce, Subversion, or ClearCase is a plus). - You've configured/deployed Continuous Integration (CI) and Continuous Deployment (CD) systems in your past experience - Excellent interpreted language skills highly desired – Object Oriented Perl or Python preferred and Strong software engineering process skills required - Strong skills in scripting and object-oriented languages such as Python or Ruby, with solid software engineering practices and familiarity with design patterns. - Hands-on experience with relational databases (PostgreSQL preferred) - Experience with DevOps or system administration on Linux systems required (Rocky Linux 8, CentOS/RHEL, and Ubuntu preferred) - Strong experience with automation required, Ansible or Puppet preferred and Excellent - interpersonal skills, including written and verbal communication - You are comfortable and enjoy working with dynamic and ever evolving environments Ways to Stand Out from the Crowd : - Meticulous and proactive problem-solver with a positive, can-do attitude. - Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems LI-Hybrid
Senior Gameplay AI Engineer
THE OPPORTUNITY Striking Distance Studios is looking for a Senior AI Engineer to work in a cooperative, cross-disciplinary team environment to implement gameplay features and systems within our games. RESPONSIBILITIES - Work across disciplines to build, refactor and maintain a variety of robust, flexible, and well-architected AI features. - Work with design team to prototype and implement AI behaviours that empower the fun. - Implement enemies, NPCs or any kind of AI managed characters. - Work with gameplay engineers to integrate developed AI systems. - Implement optimizations in perception systems and decision-making systems to make the AI performant. - Work on navigation & pathfinding systems and demonstrate the ability to debug complex AI issues. - Integrate and maintain AI middleware across all platforms. - Review the work of other engineers and provide mentorship on your area of knowledge. - Create and maintain technical design documents. - Delve into code written by other engineers and take ownership of existing systems as needed. - Keep current on technological developments and advancements. - Research and develop coding techniques and algorithms. - Collaborate with technology director on technical design and feature roll out. - Write clear, maintainable, portable, and highly performant code. - Communicate accurate status updates to your team leads, producers, and QA regarding tasks/features you are responsible for. - Adhere to team coding standards and best practices. - Foster a culture of open, honest, and respectful communication across all disciplines. QUALIFICATIONS - Bachelor's degree in software engineering, computer science, or equivalent. - At least 5 years of games industry experience and preferably 3 years or more in a similar role. - At least 3 years of experience with Unreal Engine. - Experience shipping games on current generation consoles ( PS5 or XSX ) and PC. - Advanced ability to be self-directed, focused and detail oriented. - Advanced C++ skills. - Advance knowledge on blueprints and AI decision making tools (Unreal behaviour trees, utility AI, etc.). - Advance knowledge of navigation and pathfinding systems. - 3D math skills. - Advanced verbal and written communications skills. - A demonstrable love / passion for playing and making video games. - A highly communicative and collaborative disposition. Reasonable Accommodation KRAFTON Americas is committed to the full inclusion of all qualified individuals. As part of this commitment, the Company will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to apply for an open position, perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the HR Talent team at KRAFTON Americas, to begin the interactive process. EEOC statement KRAFTON Americas provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. In California, the expected salary range for this position is $138,000-$170,000. The listed expected salary range represents a good faith estimate and the actual pay may depend on a variety of job-related factors that can include experience, education, skills, and location. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply at jobs unless they meet every single qualification. At Krafton we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You might just be the right candidate for this or other roles. Due to recent scams, our recruiters will only reach out to you via @sds.com, @krafton.com, @unknownworlds.com or @pubg.com. If you received an email and are unsure you can always email recruiting_ka@krafton.com.
Game Product Analyst, Analytics & AI
This is an opportunity to work for a remote-first company. Only applicants living in British Columbia will be considered for the role. Must be legally eligible to work in Canada. Our Values Driven by PLAYER OBSESSION, we earn our players’ trust by understanding their needs and creating experiences that put them first. OWNERSHIP means we take responsibility for our work and outcomes; we follow through, learn from mistakes, and never say “that’s not my job.” With RESOURCEFULNESS, we do more with less, finding creative ways to overcome challenges and deliver impactful results. Grounded in CONTINUOUS IMPROVEMENT, we are relentless in our pursuit of better; for ourselves, our games, and our players. About Kano Kano is an independent gaming studio that has been building and operating live games for over 15 years. Our games have long-running player communities, mature economies, live events, web and mobile platforms, and real business complexity behind them. We are a small, remote-first team. People here have room to make a visible impact, but that also means we need people who take ownership, learn quickly, adapt and care about whether their work actually changes decisions. About the Role We are hiring a Game Product Analyst to help us better understand our players, improve our games, and raise the quality of our games, marketing, and live-operations decisions across Kano. This is a hands-on analytics role working across product, games, marketing, LiveOps, technical quality, and our AWS-based data stack. This is not a dashboard-only role or a pure data engineering role. The right person is strong with data, curious about games and product design, comfortable working in a technical analytics environment, and motivated to use AI tools such as Claude Code, Codex, and other emerging tools to move faster, validate work, and build better analytical workflows. We are looking for someone who embodies being humble, hungry, and smart, meaning you take ownership, ask good questions, work well with others, and care more about finding the truth than proving yourself right. You should be comfortable with imperfect data, changing priorities, and live products where decisions need to be made with the best available evidence. You do not need to arrive as a senior expert. We are looking for someone early in their analytics career who has strong fundamentals, high ownership, good judgment, and the drive to grow into a high-impact product analytics partner. What You’ll Do Product and Game Analysis - Analyze player behaviour and product changes across the entire lifecycle (onboarding, retention, monetization, progression, LiveOps, and game economy health). - Run deep-dive funnel, cohort, and segmentation analyses to identify friction points, drop-offs, and player spending patterns. - Translate ambiguous product questions into structured analyses, clear findings, and actionable recommendations. Kano Analytics Stack & Data Quality - Work hands-on with our AWS-based analytics stack (S3, Athena, DBT, Prefect) to create, maintain, and optimize robust ETL pipelines. - Write cost- and performance-aware SQL to build analytical views that make core datasets accessible to the wider team. - Proactively QA data pipelines and telemetry, identifying broken tracking, inconsistent definitions, or anomalies in event volume. - Partner with Product, Engineering, and Design to architect tracking plans and define data telemetry before new features launch. Experimentation & AI-Enabled Workflows - Support the end-to-end design, success metric definition, and post-analysis of A/B tests and feature experiments. - Leverage modern AI development tools to accelerate your SQL/Python scripting, workflow automation, and documentation. - Build reusable notebooks, scripts, and analytical workflows to scale insights across our small, remote-first studio. Experience Required - 1-3 years of experience in data analytics, product analytics, business intelligence, data science, analytics engineering, or a similar analytical role. - Strong SQL skills, including window functions and DDL statements - Experience working with a cloud analytics environment such as AWS Athena, BigQuery, Snowflake, Databricks, Redshift, or similar. - Comfort working with S3-style data lakes, structured datasets, views, and analytical tables. - Ability to use Python for analysis, data validation, scripting, or workflow automation. - Strong analytical thinking and the ability to break vague questions into clear analytical steps. - Ability to explain data in plain language and connect analysis to product, marketing, or business decisions. - Interest in games, player behaviour, product design, monetization, engagement systems, and live-service products. - Comfort using AI tools to improve productivity, analysis quality, and speed. - High ownership, strong follow-through, and comfort working in a small remote team. Nice to Have - Experience with AWS Athena, S3, Glue Data Catalog, S3 table buckets, Apache Iceberg, or similar lakehouse tools. - Experience with analytics for free-to-play mobile games or consumer apps, including experimentation (A/B testing), player behavior, monetization, user acquisition, and marketing performance. - Experience with QuickSight, Tableau, Looker, Power BI, or similar BI tools. - Experience with Git, code review, documentation, or working in a technical team environment. Salary CAD $60,000 - $85,000 The listed pay range reflects the potential earnings for this role. Actual compensation will depend on experience, skills, and alignment with company needs, typically falling toward the midpoint for most candidates Kano is a remote-first workplace with an in-person attendance requirement 2-6 times a year. What we offer - Competitive wages determined by market research - Uncapped profit share program - Health, dental and vision benefits - 3 weeks vacation to start - Paid holiday shutdown in December - 12 paid Care Days per year - Yearly Continuous Improvement allowance - A results-driven company with a compassionate culture - Opportunity to work on game projects that are enjoyed by millions of players worldwide! - Ability to make a difference. Have an idea? Talk directly with leadership about it instead of running through layers of bureaucracy About Kano Since inception, Kano has released twelve gaming titles (seven of which are live serviced today), with over 35 million downloads and close to $100M in sales. Bootstrapped in 2008, and achieving profitability in 2009, Kano continues to grow its team, game portfolio and player base as an independent gaming studio, with hit games like Mob Wars , Idle Distiller and Monster Country . Canadian owned and full-remote, we believe in giving small teams of talented people challenging problems and getting out of their way. That’s why we look for the best and brightest to join our team; people who have talent, vision, and commitment. Check out this article If you'd like to get some insight into our hiring process, our employee manual to understand how and why we do things the way we do, and this fun little video for an intro to the team! - Better Business Bureau Accredited Business 15 year Milestone - 2025 Great Place to Work Certified™ - 2024 Great Place to Work Certified™ - 2023 Great Place to Work Certified™ - 2022 Best Workplace™ for Mental Wellness - 2022 Best Workplace™ in Canada - Less than 50 employees - 2022 Best Workplace™ in British Columbia - 2021 Best Workplace™ in British Columbia - 2020 Best Workplaces™ in Canada – Less than 100 employees - 2020 Best Workplaces™ for Inclusion - 2020 Best Workplaces™ for Mental Wellness - 2020 Best Workplaces™ in British Columbia - 2019 Great Place to Work - British Columbia - 2019 VIATEC Employer of the Year - Finalist - 2018 VIATEC Company of the Year (11-49 Employees) - Winner - 2018 VIATEC Employer of the Year - Finalist - 2017 VIATEC Company of the Year (11-49 employees) - Finalist - 2014 VIATEC Employer of the Year - Winner *Kano is an equal opportunity employer and considers qualified applicants without regard to race, gender, sexual orientation, gender identity or expression, genetic information, national origin, age, disability, medical condition, religion, marital status or veteran status, or any other basis protected by law*
Principal Data Scientist
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. As a Principal Data Scientist, you will play a pivotal role in architecting, developing, and deploying high-impact machine learning and data science solutions across Warner Bros. Discovery’s global businesses. This role is ideal for a seasoned technical leader with 14–16 years of total experience, including 10–12 years of deep, hands-on experience in applied data science, machine learning, and statistical modeling. You will translate complex business problems into scalable analytical solutions—leveraging predictive modeling, optimization, experimentation, NLP, computer vision, and modern ML engineering practices. You will lead end-to-end development of ML models, champion scientific rigor, and ensure robust operationalization through modern MLOps practices. Experience in the Media & Entertainment sector—content, streaming, audience behavior, ad intelligence, or metadata systems—is a significant plus. This is a high-impact role requiring strong technical expertise, business acumen, problem-solving skills, and the ability to guide cross functional partners across Product, Engineering, Technology, and Business domains. 1. Core Data Science & Machine Learning Expertise - Design, build, and scale advanced machine learning models across predictive analytics, NLP, CV, forecasting, optimization, and recommender systems. - Apply strong statistical foundations—hypothesis testing, probability modeling, causal inference, and experiment design—to solve complex business problems. - Develop interpretable and explainable ML models, ensuring scientific rigor, reproducibility, and operational robustness. - Conduct feature engineering, model selection, hyperparameter tuning, and validation using modern ML frameworks. - Translate ambiguous problems into structured analytic approaches with measurable impact. 2. ML Engineering & MLOps Execution - Build production-grade ML pipelines integrating with WBD’s data ecosystem (Snowflake, AWS, GCP, Databricks). - Implement CI/CD, model monitoring, drift detection, alerting, and model performance governance. - Contribute to the design of feature stores, experimentation platforms, and ML observability frameworks. - Work closely with data engineering and platform teams to ensure scalable, reliable model deployment. 3. Applied Data Science Delivery for High-Value Business Problems Lead delivery of ML solutions for domains such as: - Content performance and ratings prediction - Audience segmentation, churn and lifetime value modeling - Search ranking, discovery, and personalization systems - Metadata enrichment and content understanding using NLP & CV - Operational forecasting and automation Convert analytical outcomes into actionable insights—delivering high-ROI recommendations to product and business stakeholders. 4. Stakeholder Partnership & Communication - Partner with senior leaders across Streaming, Technology, Product, Content, and Marketing. - Present complex modeling results clearly to non-technical audiences, influencing business decisions with data-driven insights. - Shape and guide analytical roadmaps aligned to enterprise priorities. 5. Leadership, Collaboration & Mentoring - Mentor data scientists and ML engineers, elevating scientific rigor and best practices across the team. - Lead project teams in experimentation, modeling, evaluation, and productionization. - Promote knowledge sharing, documentation standards, and internal communities of practice. - Champion responsible AI, model governance, and ethical data usage across engagements. Qualifications & Experiences: - Master’s degree (or Ph.D. preferred) in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related fields. - 14–16 years of total experience, with 10–12 years in Data Science, ML, and advanced analytics. - Strong hands-on expertise in: - Predictive modeling, optimization, deep learning, NLP, and CV - Python, SQL, PyTorch/TensorFlow, Scikit-learn, ML frameworks - ML Ops, model deployment, monitoring, and observability - Statistical modeling, experiment design, Bayesian methods - Cloud platforms (AWS/GCP/Snowflake) - Demonstrated track record of delivering business impact through ML solutions in large-scale environments. - Strong communication skills with demonstrable ability to influence cross-functional teams. Preferred: - Experience in Media & Entertainment, streaming, digital advertising, metadata, or audience intelligence. - Hands-on exposure to foundation models, LLMs, embeddings, or generative AI. - Experience with video intelligence, OCR/CV pipelines, or content metadata engines. - Publications, patents, or conference-level contributions in ML/AI. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Sr. Staff, Data Science & Applied AI
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. As Sr. Staff – Data Science & Applied AI (Gen AI), you will be a core technical contributor within WBD’s AI Center of Excellence (CoE). This role is designed for a hands-on senior architect who operates at the intersection of enterprise architecture, applied AI, Generative AI, agentic AI, and cloud platform engineering. You will translate complex business challenges into scalable AI solution architectures, production-ready platforms, and reusable technical patterns that drive measurable enterprise value. You will serve as a senior individual contributor, partnering closely with Product, Engineering, Data, Security, and Business stakeholders to design, govern, and scale modern AI solutions across the organization. The role combines solution architecture leadership with deep expertise in GenAI application design, agentic systems, and AI cloud architecture on AWS and Snowflake. Enterprise AI Solution Architecture - Define end-to-end solution architecture for enterprise AI, GenAI, and agentic AI applications aligned to business and technology strategy. - Translate business workflows and operational challenges into scalable AI solution patterns, including autonomous and semi-autonomous agent use cases. - Partner with product, engineering, data, and business teams to move AI and GenAI use cases from concept and pilot into production at enterprise scale. - Create reusable architecture patterns, accelerators, reference implementations, and technical standards to speed AI adoption across teams. Generative AI & LLM Applications - Architect scalable GenAI applications for use cases such as enterprise copilots, semantic search, summarization, metadata enrichment, content intelligence, and document processing. - Define reference architectures for Retrieval-Augmented Generation (RAG), prompt orchestration, model selection, context management, and response quality optimization. - Develop and standardize evaluation frameworks to assess hallucination risk, answer quality, latency, cost efficiency, safety, and business relevance. - Implement responsible AI controls, safety mechanisms, and governance practices to ensure compliant and reliable deployment of GenAI systems. - Evaluate and recommend foundation models, embeddings, prompt strategies, and adaptation approaches based on business fit, performance, and cost. Productionization, Engineering & Governance - Collaborate with Data Engineering, Platform Engineering, DevOps, and Security teams to productionize AI and GenAI solutions in scalable cloud environments. - Design CI/CD and automation patterns for model deployment, prompt/version management, testing, release control, and operational support. - Implement monitoring for model drift, prompt drift, performance degradation, usage patterns, system health, and data integrity. - Support governance, risk management, and responsible AI initiatives by embedding security, privacy, compliance, and auditability into solution design. - Innovation & Technical Leadership - Stay current with advancements in foundation models, multimodal AI, agent frameworks, orchestration patterns, and cloud-native AI services. - Provide architecture guidance, design reviews, and technical mentorship across cross-functional teams. - Contribute to enterprise-wide AI best practices, reusable frameworks, and technical decision-making to elevate the maturity of the AI ecosystem. Qualifications & Experiences: - Bachelor’s degree, Master’s degree, or higher in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. - 8+ years of relevant experience in solution architecture, data science, machine learning, or AI engineering, with at least 2+ years of experience in Generative AI / LLM-based solutions. - Demonstrated track record of designing and delivering production-grade AI/ML/GenAI solutions with measurable business impact. - Strong experience in architecting enterprise AI solutions across business workflows, data ecosystems, and cloud platforms. - Hands-on expertise in building and scaling GenAI and LLM applications, including prompt engineering, RAG architectures, semantic search, embeddings, and evaluation frameworks. - Experience designing or supporting agentic AI systems, including orchestration, tool usage, memory, guardrails, and human oversight patterns. - Deep understanding of cloud-native AI/ML architecture principles, including deployment patterns, platform reliability, observability, security, and cost optimization. - Experience establishing reusable architecture patterns, technical standards, and governance controls for AI systems in enterprise environments. - Strong collaboration skills with Product, Engineering, Data, Security, and Business teams in global, cross-functional settings. Generative AI & Large Language Model (LLM) Expertise - Hands-on experience designing and deploying Generative AI solutions using large language models (e.g., GPT-class models, open-source foundation models, or enterprise LLM platforms). - Strong proficiency in prompt engineering, structured output design, few-shot learning strategies, and systematic prompt optimization. - Experience building Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and enterprise data sources. - Familiarity with embedding models, semantic search, and vector stores (e.g., Pinecone, Weaviate, OpenSearch, FAISS, or equivalent). - Experience fine-tuning or adapting foundation models using parameter-efficient approaches (e.g., LoRA, adapters, instruction tuning). - Understanding of LLM evaluation methodologies, including hallucination detection, bias assessment, response quality scoring, and cost-performance trade-offs. - Exposure to multimodal AI (text, image, audio, video) and agent-based workflows is a plus. - Experience working with enterprise AI platforms (e.g., AWS Bedrock, Azure OpenAI, Databricks Model Serving, Snowflake Cortex, or equivalent). - Understanding of Responsible AI principles, data privacy considerations, and model governance requirements in regulated environments. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Principal Product Designer, AI
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on Instagram and X ! Your New Role We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS. We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place. CNN is looking for a Principal Product Designer to lead our consumer AI experiences across user-facing digital platforms. This is a senior level individual contributor role that will lead design innovation on our high-impact digital surfaces through smart and delightful AI features. The ideal candidate is an experienced designer, who will incorporate their deep fluency in AI technologies and passion for news media to shape new ways for our consumers to engage with the news. You’ll collaborate closely with design across the org, Product, Engineering, Editorial, UXR and Analytics teams. Your Role Accountabilities - You will be an integral part of CNN’s design team, developing and steering a bold user experience vision for evolving consumer experiences through delightful AI features, from content discovery to comprehension to personalization. - You will collaborate closely with your Product partner on a roadmap that prioritizes high-impact features that deepen engagement and enhance the end users’ experiences, from personalized feeds to dynamic homepages to conversational agents that allow users to better understand the news. - Your work will include identifying user needs, producing cutting-edge user experiences, conducting rapid prototyping to iteratively test and validate product features and see new features and enhancements through launch. - You will partner closely with other designers and design leaders on driving an innovative design vision while ensuring AI features feel seamless, natural, and cohesive across surfaces and platforms. - You will guide the overall UX strategy for consumer AI experiences, with user research and analytics data, to develop a deep understanding of how users engage, what matters to them, and identify designs that uniquely solve pain points and move key business metrics. - You will serve as a thought leader for ethical and responsible AI design. You understand the media landscape, and you are innovative, and committed to pushing the boundaries of CNN. Qualifications & Experience - 12+ years' related work experience in product design with a proven track record of launching innovative consumer-facing products - 3+ years working with AI/ML technologies, including experience with large language models, recommendations systems, or generative interfaces. - Strong understanding of AI fundamentals and their application in product experiences; comfort partnering with technical leads and data scientists. Experience in media companies is a plus. - Expertise in Figma, prototyping and a deep knowledge of utilizing design systems; extensive experience in program management tools such as Confluence and Jira. - Impeccable written and verbal communication, facilitation, and interpersonal skills, and a proven track record of executing a design vision and leading through influence cross-functionally. - Data-driven, with extensive experience testing and refining to continually improve upon metrics. - Mastery of best UX design practices, including usability principles, user research methodologies and testing techniques. - Bachelor's degree in design, human-computer interaction (HCI), or equivalent professional experience. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $189,700.00 - $352,300.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
Staff Machine Learning Engineer (Data & Audience P...
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Staff Machine Learning Engineer (Data & Audience Platform), Hyderabad About Warner Bros. Discovery Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet our Team Warner Bros. Discovery (WBD) is home to the world’s most iconic entertainment, news, and sports brands — HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, Food Network, and many more. Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team in Hyderabad builds the foundational AI/ML intelligence that powers identity, audience, advertising, and personalization across every WBD brand. We turn first-party signals from hundreds of millions of viewers into production ML systems that expand addressable audiences, sharpen targeting and measurement, forecast demand, and personalize content discovery — directly driving advertising yield, marketing efficiency, engagement, and retention. At WBD, MLEs do rigorous data science and own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks , with strong working knowledge of Snowflake and AWS , and we are an early, enthusiastic adopter of agentic AI development workflows. About the Role The Staff MLE is the senior-most individual contributor on the Hyderabad ML Engineering team. You will set the technical direction for the team’s most complex and strategically important ML systems, serve as the technical authority across multiple concurrent workstreams, and act as a force multiplier for the entire team. You will own the architecture of WBD’s ML capabilities in Hyderabad — spanning identity intelligence, audience intelligence, content affinity, and forecasting — and be a key technical partner to the Senior ML Engineering Manager and Director. This role requires 8+ years of experience, exceptional depth across the ML stack, and the ability to influence technical decisions across organizational boundaries. What You’ll Do Technical Vision & Architecture - Define and own the technical architecture for the team’s core systems: the probabilistic identity spine, audience intelligence platform, content-affinity and genre-preference models, and ML-based forecasting. - Lead architectural decisions for the team’s MLOps framework — feature-store design, training-pipeline standards, model-serving patterns, and monitoring infrastructure — on a Databricks-first architecture, integrating Snowflake and AWS SageMaker where each is the right tool. - Evaluate and recommend new technologies and approaches (e.g., DCR-native modeling, graph ML, agentic ML orchestration, LLM-augmented pipelines) with clear build/buy/partner assessments. - Drive standardization of ML practices across Hyderabad and align with global WBD ML engineering standards. Flagship ML System Ownership - Architect and lead delivery of the probabilistic identity resolution system — resolving unauthenticated device IDs and 1P cookies to households/persons with calibrated confidence at scale across all WBD brands — using entity resolution, embeddings/representation learning, calibration, candidate blocking, and champion/challenger promotion, with a roadmap toward person-level graphs (incl. GNNs) and real-time resolution. - Lead the evolution of Audience Intelligence : ML Promo Optimizer (layered retrieval + propensity + closed-loop measurement, toward mixture-of-experts), STAT v2 (two-tower single-title affinity with semantic content embeddings), lookalike modeling (LAL 2.0+) inside Snowflake DCR, and content segmentation. - Own the ML architecture for forecasting (audience growth, demand, yield/pricing) and ensure models are production-grade, monitored, and continuously improved. - Drive the roadmap for bringing ML personalization signals (genre/content affinity, engagement trends) into batch and, over time, real-time activation paths. MLOps Platform Leadership - Define the team’s MLOps target architecture: feature contracts, model-registry governance, automated retraining, drift detection, and A/B experimentation infrastructure. - Establish engineering standards for the full ML lifecycle: data contracts → feature engineering → training → evaluation → deployment → monitoring → deprecation. - Champion a lightweight, adoptable, well-documented architecture (Databricks Asset Bundles, GitHub Actions CI/CD, MLflow throughout, feature tables, inference/monitoring tables), with leakage prevention, reproducibility, and FinOps controls baked in. Agentic AI & Emerging Capabilities - Lead the team’s adoption of agentic AI development: define standards for using Cursor, GitHub Copilot, and Amazon Q in production ML workflows, and for MCP-based tooling. - Architect the team’s use of Databricks Genie at scale — Genie Space governance, Unity Catalog semantic-layer standards, and knowledge-store curation — so ML outputs (audience scores, identity confidence, affinity signals) are self-serviceable by Marketing, Ad Sales, and Product without engineering intervention. - Own the team’s Snowflake Cortex strategy — Cortex Analyst / Copilot embedded into internal tooling, Cortex Search for RAG-based internal knowledge, and (where valuable) Cortex Fine-Tuning on WBD audience/identity vocabulary. - Architect agentic ML workflows for high-value automation (feature-selection and hyperparameter agents, data-quality monitoring agents, model-card generation) and evaluate emerging paradigms (DCR-native training, real-time feature serving) for the production roadmap. Organizational Influence & Mentorship - Serve as the technical anchor for Hyderabad; provide architectural guidance and deep mentorship to Senior and MLE 2 engineers. - Partner with the Senior ML Engineering Manager on technical roadmap prioritization, headcount planning, and team capability development. - Represent the Hyderabad team in cross-functional technical forums with US-based ML, Data Engineering, Product, and Ad Sales stakeholders. - Produce high-quality technical design documents, architecture reviews, and post-mortems that elevate the team’s engineering culture. What You’ll Bring Required - 8+ years of industry experience in ML engineering (6+ with a Ph.D.), with demonstrated Staff-level scope and impact. - Mastery of the full ML stack: data engineering, feature engineering, model development, MLOps, and production monitoring. - Deep Databricks expertise: Delta Lake, Unity Catalog, Workflows/DLT, MLflow, Feature Store, Asset Bundles, and Genie Space configuration. - Strong AWS proficiency (SageMaker training/pipelines/model registry, S3, Lambda, Glue) and Snowflake expertise (DCR patterns, Snowpark, Cortex, SQL optimization at scale). - Proven experience architecting production ML systems serving millions of users, and a track record of technical leadership (setting standards, driving architecture, influencing across teams). - Expert proficiency with ML frameworks (PyTorch, TensorFlow, XGBoost/LightGBM, scikit-learn) and deep understanding of statistics and ML fundamentals. - Master’s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field (or equivalent industry experience). - Excellent communication, with the ability to advocate technical solutions to engineering, science, product, and executive audiences. Preferred - Streaming / media / ad-tech ML: identity resolution, audience modeling, recommendation/ranking, content understanding. - Deep knowledge of probabilistic identity resolution (entity resolution, graph-based household matching, confidence calibration) and Data Clean Room ML (Snowflake DCR, AWS Clean Rooms). - Hands-on experience with agentic AI frameworks at production scale (LangGraph, AutoGen, MCP, CrewAI), Databricks Genie Space curation, and Snowflake Cortex Search / Fine-Tuning for enterprise RAG. - Experience with real-time feature serving and low-latency inference, and with mixture-of-experts or graph neural networks. - Published research or conference presentations in relevant ML domains. Our Technology Stack Primary platform: Databricks (Lakehouse, PySpark, Delta, Workflows/DLT, MLflow, Feature Store, Unity Catalog, Asset Bundles, Genie). Cloud: AWS (SageMaker, S3, Lambda, Glue). Warehouse: Snowflake (DCR, Snowpark, Cortex). Activation: Mosaic, FreeWheel, Google Ad Manager. Agentic AI: Cursor, GitHub Copilot, Amazon Q, Databricks Genie, Snowflake Cortex, MCP. Languages: Python (primary), SQL, Scala (as needed). What We Offer: - A Great Place to work - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Senior Machine Learning Engineer (Data & Audience...
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Senior Machine Learning Engineer (Data & Audience Platform), Hyderabad About Warner Bros. Discovery Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet our Team Warner Bros. Discovery (WBD) is home to the world’s most iconic entertainment, news, and sports brands — HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, Food Network, and many more. Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team in Hyderabad builds the foundational AI/ML intelligence that powers identity, audience, advertising, and personalization across every WBD brand. We turn first-party signals from hundreds of millions of viewers into production ML systems that expand addressable audiences, sharpen targeting and measurement, forecast demand, and personalize content discovery — directly driving advertising yield, marketing efficiency, engagement, and retention. At WBD, MLEs do rigorous data science and own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks , with strong working knowledge of Snowflake and AWS , and we are an early, enthusiastic adopter of agentic AI development workflows. About the Role As a Senior MLE, you will own the design and delivery of production ML systems that directly impact audience targeting, advertising revenue, subscriber engagement, and retention across WBD’s global portfolio. You will lead technical execution on key workstreams — including probabilistic identity resolution, lookalike modeling, single-title affinity, and forecasting — while mentoring MLE 2s and collaborating closely with Staff MLEs and product stakeholders. This is a high-ownership role for engineers with roughly 5–8 years of experience who can independently drive a project from problem framing through production deployment and monitoring. What You’ll Do ML System Design & Ownership - Lead end-to-end development of production ML systems: data sourcing, feature engineering, model training, evaluation, deployment, and monitoring. - Own key ML products such as probabilistic identity resolution (matching unauthenticated device IDs and 1P cookies to households/persons with calibrated confidence), single-title affinity (e.g., STAT two-tower retrieval), and audience/propensity models. - Design scalable feature pipelines on Databricks (PySpark, Delta, Workflows/DLT, Unity Catalog) and the WBD feature store, with documented feature contracts, backfill paths, and freshness SLAs. - Architect batch and near-real-time inference pipelines integrated with Snowflake and activation systems (Mosaic, FreeWheel, GAM). Modeling & Experimentation - Develop and optimize models across the ML spectrum: gradient boosting (XGBoost/LightGBM), embedding/two-tower retrieval, neural ranking, probability calibration (e.g., isotonic regression), and probabilistic/graph-based matching. - Design rigorous offline and online experiments; define evaluation frameworks (precision/recall, AUC-ROC, NDCG, decile lift, calibration curves) appropriate to each use case. - Apply causal-inference techniques (propensity scoring, uplift/incrementality modeling) to measure true lift of audience targeting on engagement and retention KPIs. - Contribute to lookalike modeling (LAL 2.0+) using 1,000+ first- and third-party features, including privacy-safe builds inside Data Clean Rooms (Snowflake DCR). MLOps & Infrastructure - Champion MLOps best practices: model versioning, champion/challenger promotion, automated retraining triggers, drift detection, and production monitoring with MLflow on Databricks. - Build and maintain robust, reproducible, auditable ML pipelines on Databricks (and AWS SageMaker where appropriate, e.g., the identity-resolution track); enforce leakage prevention and training/serving consistency. - Contribute to the team’s feature-store strategy — feature contracts, backfills, and freshness SLAs — and implement data-quality checks, model-health dashboards, and alerting thresholds. - Embed FinOps cost discipline (compute caps, auto-termination, job tagging) into pipeline design. Agentic AI & Modern Development - Actively use and advocate for AI-assisted development: Cursor, GitHub Copilot, and Amazon Q for code generation, review, and documentation. - Leverage Databricks Genie as a governed natural-language analytics layer — configuring Genie Spaces over ML feature tables and audience datasets to enable self-service exploration for cross-functional stakeholders. - Use Snowflake Cortex (Copilot, Cortex Analyst, Cortex Search) to accelerate SQL authoring, data discovery, and RAG-based internal tooling over Snowflake-resident identity and audience data. - Prototype agentic ML workflows (e.g., with MCP-compatible tooling, LangChain/LangGraph) to automate repetitive tasks such as data validation, feature selection, and hyperparameter search; evaluate LLM-based approaches for metadata enrichment and content understanding. Mentorship & Cross-functional Collaboration - Mentor MLE 2s through code reviews, design discussions, and pairing; contribute to team technical standards. - Partner with Product, Marketing, and Ad Sales to translate business requirements into ML problem formulations, and with Data Engineering on data contracts and pipeline SLAs. - Communicate model performance, trade-offs, and business impact clearly to technical and non-technical stakeholders. Flagship Projects You’ll Work On - Identity Intelligence — foundational, privacy-safe identity across all WBD brands: probabilistic ID resolution that resolves unauthenticated signals to households/persons with calibrated confidence (entity resolution with gradient boosting and embeddings, representation learning, isotonic calibration, candidate blocking, champion/challenger pipelines), expanding addressable audiences beyond deterministic matching. - Audience Intelligence — advertising and marketing use cases: lookalike and predictive audiences (LAL across 1,000+ features), ML-driven smart audiences, layered retrieval + propensity, and incrementality/closed-loop optimization, with privacy-safe activation including data clean rooms. - ML-based Forecasting — audience growth, demand, and advertising yield/pricing forecasting that powers ad sales and marketing decisions. - Content Preferences & Affinity — genre-preference, content-preference, and single-title affinity modeling (two-tower retrieval with semantic content embeddings) that ranks audiences for upcoming titles and powers cross-channel promotion. What You’ll Bring Required - 5–8 years of industry experience in ML engineering or applied data science (3+ years with a Ph.D.). - Deep Python expertise and production-quality software engineering practices; production experience building and deploying ML at scale (millions+ of users/records). - Strong proficiency in Databricks (PySpark, Delta Lake, Workflows/DLT, MLflow, Unity Catalog) and solid SQL/Snowflake experience for feature sourcing and model-output delivery. - Experience with AWS ML services (SageMaker, S3, Lambda). - Strong understanding of ML model evaluation, A/B testing, and statistical inference; knowledge in one or more of recommendations & ranking, identity resolution, embeddings/retrieval, causal/interpretable ML, forecasting, bandits, or optimization. - Demonstrated ability to lead technical decisions and mentor engineers. - Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent experience). - Excellent written and verbal communication, with the ability to advocate technical solutions to engineers, scientists, and product stakeholders. Preferred - Recommendation systems, personalization, identity resolution, or audience modeling in a media / streaming / ad-tech context. - Familiarity with Data Clean Room environments (Snowflake DCR, AWS Clean Rooms) and consent-aware activation. - Experience with two-tower / retrieval architectures, probabilistic identity resolution (graph-based matching, entity resolution), and probability calibration. - Hands-on experience with agentic AI frameworks (LangChain, LangGraph, AutoGen, MCP), Databricks Genie Space configuration, and Snowflake Cortex. - Experience with feature stores (Databricks Feature Store, Tecton, Feast) and contributions to open source or ML publications. What We Offer: - A Great Place to work - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Senior Machine Learning Engineer (Data & Audience...
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Senior Machine Learning Engineer (Data & Audience Platform), Hyderabad About Warner Bros. Discovery Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet our Team Warner Bros. Discovery (WBD) is home to the world’s most iconic entertainment, news, and sports brands — HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, Food Network, and many more. Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team in Hyderabad builds the foundational AI/ML intelligence that powers identity, audience, advertising, and personalization across every WBD brand. We turn first-party signals from hundreds of millions of viewers into production ML systems that expand addressable audiences, sharpen targeting and measurement, forecast demand, and personalize content discovery — directly driving advertising yield, marketing efficiency, engagement, and retention. At WBD, MLEs do rigorous data science and own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks , with strong working knowledge of Snowflake and AWS , and we are an early, enthusiastic adopter of agentic AI development workflows. About the Role As a Senior MLE, you will own the design and delivery of production ML systems that directly impact audience targeting, advertising revenue, subscriber engagement, and retention across WBD’s global portfolio. You will lead technical execution on key workstreams — including probabilistic identity resolution, lookalike modeling, single-title affinity, and forecasting — while mentoring MLE 2s and collaborating closely with Staff MLEs and product stakeholders. This is a high-ownership role for engineers with roughly 5–8 years of experience who can independently drive a project from problem framing through production deployment and monitoring. What You’ll Do ML System Design & Ownership - Lead end-to-end development of production ML systems: data sourcing, feature engineering, model training, evaluation, deployment, and monitoring. - Own key ML products such as probabilistic identity resolution (matching unauthenticated device IDs and 1P cookies to households/persons with calibrated confidence), single-title affinity (e.g., STAT two-tower retrieval), and audience/propensity models. - Design scalable feature pipelines on Databricks (PySpark, Delta, Workflows/DLT, Unity Catalog) and the WBD feature store, with documented feature contracts, backfill paths, and freshness SLAs. - Architect batch and near-real-time inference pipelines integrated with Snowflake and activation systems (Mosaic, FreeWheel, GAM). Modeling & Experimentation - Develop and optimize models across the ML spectrum: gradient boosting (XGBoost/LightGBM), embedding/two-tower retrieval, neural ranking, probability calibration (e.g., isotonic regression), and probabilistic/graph-based matching. - Design rigorous offline and online experiments; define evaluation frameworks (precision/recall, AUC-ROC, NDCG, decile lift, calibration curves) appropriate to each use case. - Apply causal-inference techniques (propensity scoring, uplift/incrementality modeling) to measure true lift of audience targeting on engagement and retention KPIs. - Contribute to lookalike modeling (LAL 2.0+) using 1,000+ first- and third-party features, including privacy-safe builds inside Data Clean Rooms (Snowflake DCR). MLOps & Infrastructure - Champion MLOps best practices: model versioning, champion/challenger promotion, automated retraining triggers, drift detection, and production monitoring with MLflow on Databricks. - Build and maintain robust, reproducible, auditable ML pipelines on Databricks (and AWS SageMaker where appropriate, e.g., the identity-resolution track); enforce leakage prevention and training/serving consistency. - Contribute to the team’s feature-store strategy — feature contracts, backfills, and freshness SLAs — and implement data-quality checks, model-health dashboards, and alerting thresholds. - Embed FinOps cost discipline (compute caps, auto-termination, job tagging) into pipeline design. Agentic AI & Modern Development - Actively use and advocate for AI-assisted development: Cursor, GitHub Copilot, and Amazon Q for code generation, review, and documentation. - Leverage Databricks Genie as a governed natural-language analytics layer — configuring Genie Spaces over ML feature tables and audience datasets to enable self-service exploration for cross-functional stakeholders. - Use Snowflake Cortex (Copilot, Cortex Analyst, Cortex Search) to accelerate SQL authoring, data discovery, and RAG-based internal tooling over Snowflake-resident identity and audience data. - Prototype agentic ML workflows (e.g., with MCP-compatible tooling, LangChain/LangGraph) to automate repetitive tasks such as data validation, feature selection, and hyperparameter search; evaluate LLM-based approaches for metadata enrichment and content understanding. Mentorship & Cross-functional Collaboration - Mentor MLE 2s through code reviews, design discussions, and pairing; contribute to team technical standards. - Partner with Product, Marketing, and Ad Sales to translate business requirements into ML problem formulations, and with Data Engineering on data contracts and pipeline SLAs. - Communicate model performance, trade-offs, and business impact clearly to technical and non-technical stakeholders. Flagship Projects You’ll Work On - Identity Intelligence — foundational, privacy-safe identity across all WBD brands: probabilistic ID resolution that resolves unauthenticated signals to households/persons with calibrated confidence (entity resolution with gradient boosting and embeddings, representation learning, isotonic calibration, candidate blocking, champion/challenger pipelines), expanding addressable audiences beyond deterministic matching. - Audience Intelligence — advertising and marketing use cases: lookalike and predictive audiences (LAL across 1,000+ features), ML-driven smart audiences, layered retrieval + propensity, and incrementality/closed-loop optimization, with privacy-safe activation including data clean rooms. - ML-based Forecasting — audience growth, demand, and advertising yield/pricing forecasting that powers ad sales and marketing decisions. - Content Preferences & Affinity — genre-preference, content-preference, and single-title affinity modeling (two-tower retrieval with semantic content embeddings) that ranks audiences for upcoming titles and powers cross-channel promotion. What You’ll Bring Required - 5–8 years of industry experience in ML engineering or applied data science (3+ years with a Ph.D.). - Deep Python expertise and production-quality software engineering practices; production experience building and deploying ML at scale (millions+ of users/records). - Strong proficiency in Databricks (PySpark, Delta Lake, Workflows/DLT, MLflow, Unity Catalog) and solid SQL/Snowflake experience for feature sourcing and model-output delivery. - Experience with AWS ML services (SageMaker, S3, Lambda). - Strong understanding of ML model evaluation, A/B testing, and statistical inference; knowledge in one or more of recommendations & ranking, identity resolution, embeddings/retrieval, causal/interpretable ML, forecasting, bandits, or optimization. - Demonstrated ability to lead technical decisions and mentor engineers. - Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent experience). - Excellent written and verbal communication, with the ability to advocate technical solutions to engineers, scientists, and product stakeholders. Preferred - Recommendation systems, personalization, identity resolution, or audience modeling in a media / streaming / ad-tech context. - Familiarity with Data Clean Room environments (Snowflake DCR, AWS Clean Rooms) and consent-aware activation. - Experience with two-tower / retrieval architectures, probabilistic identity resolution (graph-based matching, entity resolution), and probability calibration. - Hands-on experience with agentic AI frameworks (LangChain, LangGraph, AutoGen, MCP), Databricks Genie Space configuration, and Snowflake Cortex. - Experience with feature stores (Databricks Feature Store, Tecton, Feast) and contributions to open source or ML publications. What We Offer: - A Great Place to work - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Machine Learning Engineer II ( Data & Audience Pla...
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Machine Learning Engineer II ( Data & Audience Platform Team), Hyderabad About Warner Bros. Discovery Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet our Team Warner Bros. Discovery (WBD) is home to the world’s most iconic entertainment, news, and sports brands — HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, Food Network, and many more. Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team in Hyderabad builds the foundational AI/ML intelligence that powers identity, audience, advertising, and personalization across every WBD brand. We turn first-party signals from hundreds of millions of viewers into production ML systems that expand addressable audiences, sharpen targeting and measurement, forecast demand, and personalize content discovery — directly driving advertising yield, marketing efficiency, engagement, and retention. At WBD, MLEs do rigorous data science and own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks , with strong working knowledge of Snowflake and AWS , and we are an early, enthusiastic adopter of agentic AI development workflows. About the Role As a Machine Learning Engineer II, you will work alongside Senior and Staff engineers to build and maintain production ML pipelines, contribute to model development, and grow into a well-rounded ML engineer who bridges data science and software engineering. This is a hands-on role for someone with roughly 2–4 years of experience who is eager to work on high-impact ML systems at scale — from probabilistic identity graphs to single-title affinity models — and who wants to develop deep expertise across the full ML lifecycle. What You’ll Do ML Development & Modeling Build and maintain end-to-end ML pipelines for training, evaluation, and batch inference across use cases such as identity resolution, audience segmentation, and content affinity modeling. Implement and experiment with supervised, unsupervised, and ranking models in Python (scikit-learn, XGBoost/LightGBM, PyTorch). Engineer features from first-party viewership, engagement, subscription, and behavioral signals, guarding against data leakage, collinearity, and training/serving skew. Run structured offline experiments; evaluate with the right metrics (precision/recall, F1, AUC-ROC, calibration, lift) and document findings in MLflow. ML Infrastructure & Engineering Develop and maintain data and feature pipelines on Databricks (PySpark, Delta, Workflows) that feed the feature store and model-training workflows, with attention to idempotency and reproducibility. Write clean, tested, production-quality Python following engineering best practices (unit tests, code reviews, CI/CD). Use MLflow for experiment tracking, model registration, and versioning under the guidance of senior engineers. Support deployment and monitoring of batch inference jobs integrated with downstream activation platforms (e.g., Mosaic, FreeWheel, GAM) and data in Snowflake. Agentic AI & Modern Tooling Use AI-assisted development tools (Cursor, GitHub Copilot, Amazon Q) to accelerate coding, debugging, and documentation under guidance. Leverage Databricks Genie for natural-language exploration of governed Unity Catalog datasets — querying ML feature tables, model outputs, and audience segments. Use Snowflake Cortex (Copilot / Cortex Analyst) to accelerate data analysis and SQL authoring against audience and identity schemas. Learn and apply prompt-engineering patterns for LLM-assisted data exploration and feature generation, and participate in evaluating MCP (Model Context Protocol) tooling as the team expands agentic workflows. Collaboration & Growth Partner with Senior and Staff MLEs to understand system-design decisions and contribute meaningfully to technical discussions. Work cross-functionally with Data Engineering, Feature Engineering, and Analytics to ensure data quality and pipeline reliability. Document models, pipelines, and experiments clearly for team knowledge sharing. What You’ll Bring Required 2–4 years of industry experience in machine learning, data science, or ML engineering (or 1–2 years with a relevant M.S.). Strong Python proficiency; experience with pandas, NumPy, scikit-learn, and at least one deep-learning framework (PyTorch or TensorFlow). Hands-on experience with Spark/PySpark or equivalent large-scale data processing. Proficiency in SQL and familiarity with cloud data warehouses/lakehouses (Snowflake or Databricks). Experience with experiment-tracking tools (MLflow, Weights & Biases, or similar). Solid grasp of core ML concepts: classification, regression, ranking, embeddings, and model evaluation; plus strong CS fundamentals (data structures, algorithms, clean code). Bachelor’s degree in Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent practical experience). Ability to use AI tools to independently improve productivity across the ML lifecycle, and clear written and verbal communication. Preferred Experience with Databricks (notebooks, Delta Lake, Workflows/DLT, Unity Catalog, MLflow). Exposure to recommendation systems, audience segmentation, identity resolution, or forecasting. Familiarity with AWS services (SageMaker, S3, Lambda) and/or feature stores (Databricks Feature Store, Feast). Exposure to agentic AI tools: Cursor, GitHub Copilot, Amazon Q, Databricks Genie, Snowflake Cortex, or MCP. What We Offer: - A Great Place to work - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Sr. Principal Data Scientist
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : As a Sr. Principal Data Scientist, you will operate at the highest technical individual-contributor level at Warner Bros. Discovery—serving as a company-wide authority in advanced Data Science, Machine Learning, and Applied AI. This role is designed for an elite practitioner with 15–18+ years of experience, including 10–14 years of deep, hands-on expertise in Data Science, ML, and AI systems at enterprise scale. Unlike leadership or management roles, this position is purely an IC role, focused on technical depth, architectural rigor, and scientific excellence, without formal people-management responsibilities. You will design, architect, and deliver some of WBD’s most complex and business-critical AI systems, directly influencing how the company creates, distributes, personalizes, monetizes, and optimizes content across streaming, linear TV, advertising, and direct-to-consumer platforms. This is a hands-on, high-impact role for a technologist who thrives on solving unsolved problems, pushing the boundaries of applied ML, and translating advanced science into durable business advantage. 1. Enterprise-Grade Applied AI & ML Leadership (IC) - Act as one of WBD’s most senior technical ICs in Data Science and Machine Learning. - Lead the end-to-end design and implementation of advanced ML systems across: - Content intelligence & metadata enrichment - Audience modelling & personalization - Forecasting, optimization, and experimentation - Advertising intelligence & monetization analytics - Set technical direction and standards for complex ML implementations without direct people management. 2. Advanced Modelling & Scientific Excellence - Design and implement state-of-the-art models , including: - Large-scale recommender systems - Time-series forecasting & probabilistic models - Causal inference, experimentation & uplift modelling - NLP, generative AI & multimodal ML systems - Computer vision & video intelligence pipelines - Apply rigorous statistical thinking, experimentation discipline, and scientific validation to all solutions. - Serve as a final technical reviewer for high-risk or high-impact ML solutions. 3. Architecture of Scalable ML Systems - Architect production-grade ML systems integrated with WBD’s cloud data ecosystem (AWS, Snowflake, GCP). - Define best practices for: - Feature engineering & feature stores - Model lifecycle management & MLOps - CI/CD for ML, model monitoring, and drift detection - Reproducibility, governance, and responsible AI - Partner deeply with data engineering, platform, and product engineering teams to ensure scalable, resilient delivery. 4. High-Impact Business Problem Solving - Own and deliver mission-critical AI solutions across: - Content performance prediction & ratings intelligence - Marketing attribution & lifecycle analytics - Search, discovery & ranking systems - Ad load optimization & pricing intelligence - Operational forecasting & automation - Translate complex modelling outputs into clear, executive-ready insights that drive decisions. 5. Executive & Cross-Functional Influence (Without Line Management) - Serve as a trusted technical advisor to senior leaders across Streaming, Content, Ad Sales, Marketing, and Technology. - Communicate complex ML concepts with clarity and credibility to non-technical stakeholders. - Influence enterprise AI roadmaps, architectural decisions, and investment priorities through expertise—not hierarchy. 6. Technical Mentorship & Community Leadership - Mentor senior and staff-level data scientists through technical guidance, design reviews, and deep problem-solving . - Contribute to internal AI communities of practice, technical forums, and standards bodies. - Elevate overall engineering and scientific rigor across the Data Science organization. Qualifications & Experiences: - Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Operations Research, or related disciplines. - 18–20 years of total experience, with 13–15 years in Data Science/ML, including hands-on technical leadership. - Deep expertise in: - Predictive modeling, optimization, and advanced ML techniques - MLOps and large-scale model deployment - Modern cloud ecosystems (AWS/GCP/Snowflake) - Python, PyTorch, TensorFlow, SQL, ML frameworks - Experiment design, causal inference, and statistical modeling - Demonstrated experience in Media & Entertainment, streaming, digital advertising, or consumer intelligence. - Strong track record of delivering enterprise-impact through AI solutions. - Exceptional communication skills, including the ability to influence executives and inspire technical teams. Preferred - Experience developing or customizing Large Language Models or multimodal foundation models. - Patent, publication, or conference-track record in ML/AI. - Experience with video intelligence, CV for media workflows, or content metadata systems. - Experience partnering with product and engineering organizations in a fast-paced environment. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Staff Machine Learning Engineer - Search
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Staff MLE, Search & Personalization, Content Discovery Location: Seattle, San Francisco Bay Area, New York About You: We’re looking for a Staff Machine Learning Engineer to lead the design and evolution of ML and AI driven Search algorithms for our global streaming app, HBO Max . This role will own the end-to-end search algorithm innovation from retrieval and ranking to personalization and experimentation , impacting how millions of users discover content globally. You will operate at the intersection of ML, systems, and product , bringing both deep expertise in search/relevance systems and strong technical leadership . You’ll help define the roadmap, drive architecture decisions, and elevate the team’s ability to build and iterate on high-quality search experiences. Responsibilities: - Lead the design and development of large-scale model driven search algorithms including retrieval, ranking, and query understanding - Define and evolve the technical strategy for search , balancing relevance, latency, and scalability - Drive end-to-end ML systems: data pipelines, feature engineering, model training, experimentation, and serving - Partner closely with product, data, and infrastructure teams to shape and execute on the search roadmap and user experience - Mentor engineers and data scientists and raise the bar on algorithm development, system design, ML and engineering practices - Identify and drive high-impact opportunities across search and personalization - Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers Requirements: - 8+ years of industry experience, with 4+ years as tech lead experience (preferred) - Deep expertise in search and/or ranking algorithms ( e.g., retrieval, LTR, semantic search , query understanding , entity recognition ) - Strong experience building large-scale ML systems in production - Proven ability to lead technical direction and influence across teams - Experience with online experimentation and metrics-driven development - Strong programming skills in Python ( Java/Go a plus ) - Experience with distributed systems and cloud platforms (AWS/GCP/Azure) - Solid understanding of data fundamentals (SQL, pipelines, feature stores) - Excellent communication skills and ability to work cross-functionally Nice to Have - Experience with recommender systems or personalization - Experience with NLP techniques - Familiarity with vector search / ANN ( Faiss , ScaNN , etc.) - Experience in streaming, marketplace, or content discovery platforms How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $192,570.00 - $357,630.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation. If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Staff Machine Learning Engineer, Platform & Produc...
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture. HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring! About You: We are looking for a passionate Staff Machine Learning Engineer to bridge the gap between cutting-edge ML algorithm development and production grade, scalable softwa re engineering for our search and personalization systems. In this role, you will be the technical leader of our engineering rigor, design the core architecture, establish engineer ing best practices, creat e scalable MLOps pipelines, and design a codebase that allows the team to iterate, deploy, and quickly experiment in production. You will act as a force multiplier, elevating the software engineering capabilities of the entire ML team. Responsibilities: - Recommendation & Search model training a rchitecture: Architect, build, and scale recommendation systems powering personalization and search experiences across our streaming platforms. - Codebase Architecture : Design modular, scalable ML repositories built for rapid iteration, fast deployment, and production experimentation. - Engineering Excellence : Establish coding standards, testing frameworks, code review workflows, and CI/CD pipelines using open-source cloud technologies for ML and DS workstreams . - Production Velocity : Build infrastructure abstractions and components that allow seamless transition from model training to large-scale serving. - Cross-Functional Delivery: Collaborate with other ML engineers , data scientists and product managers, to drive complex ML projects from conception to completion. - Strategic Planning : Partner with product and engineering leadership to define, plan, and deliver against long-term strategic goals. - Culture & Mentorship: Mentor and influence engineers across organizations by demonstrating high-quality work, advocating for the customer, and fostering an innovative, engineering -driven culture. Requirements: - 8+ years of industry experience, with 4+ years as tech lead experience (preferred) - D eep practical knowledge in designing scalable, production-grade Search or Recommendation systems architecture - Knowledge of large-scale distributed systems, architecture, APIs, and databases. - Solid practical understanding in modern machine learning lifecycle , common pain-points, and research and production environments . - Staff level experience building production systems with expertise in Python/Java , containerization , and cloud platforms. - Hands-on experience with MLOps tools and frameworks ( MLflow , Kubeflow, Sagemaker , etc ) , or building internal systems. - Familiarity with m achine learning algorithms ( in particular for recommender systems) is a strong plus How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $187,670.00 - $348,530.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation. If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Specialist, AI Innovation, CNN Digital Products &...
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN. To see what it’s like to work at CNN, follow @WBDLife on Instagram and X ! We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS. We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place. Your New Role… CNN is seeking a Specialist, AI Innovation to support and drive the day-to-day execution of AI work across the newsroom. This position plays a key role in operationalizing projects and turning ideas into real tools, workflows and editorial use cases that improve how journalists work. You will help initiate, manage and move forward a growing portfolio of AI projects, while also working closely with reporters, producers and editors to understand how AI can support their day-to-day work. The role requires strong organizational skills, editorial judgment and a practical understanding of how AI tools can be applied in a newsroom setting while maintaining the highest editorial standards. The ideal candidate is organized, collaborative and ambitious—someone who can keep complex projects and workstreams on track while contributing their own ideas and identifying opportunities for AI to make a meaningful impact. Your Role Accountabilities… - Manage timelines, priorities and deliverables across a portfolio of AI Innovation projects, ensuring consistent progress across broad, cross-functional teams - Support intake and prioritization of new ideas and requests from across the newsroom, helping focus efforts on the highest-impact opportunities - Work closely with reporters, producers and editors to understand workflows and identify practical opportunities for AI to improve day-to-day work - Uphold CNN’s standards of accuracy, fairness and transparency across AI-powered tools and AI-generated output - Partner with teams across editorial, product, engineering, legal, and business to keep projects aligned and moving forward - Champion adoption of AI tools and workflows, including trainings, onboarding and ongoing journalist support Qualifications & Experience… - 2+ years of experience in a newsroom, digital media organization, or cross-functional role supporting editorial teams - Strong organizational and project management skills, with the ability to manage multiple workflows, prioritize effectively, and deliver against deadlines in a fast-paced newsroom environment - Strong understanding of newsroom workflows, including reporting, editing, and video production - Hands-on experience applying AI tools to editorial or product workflows, including prompt development, testing, and evaluating outputs for accuracy and quality - Experience working with project management systems, data and analytics to assess performance, identify trends, and inform decisions - Experience collaborating with product and engineering teams on tool development, integrations, or workflow improvements - Strong communication skills, with the ability to work effectively across teams and align stakeholders How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $70,000.00 - $130,000.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
Staff Product Manager - Tech - AI/ML
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Staff Product Manager, Technical (PM-T) – Content Intelligence About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet Our Team: When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons. and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Roles and Responsibilities : The Content Intelligence team is seeking a Staff-level Technical Product Manager (PM-T) to support the development and execution of AI/ML capabilities powering next-generation content localization workflows. This role focuses on context-aware localization, including transcription, subtitling, translation, captioning, audio description and dubbing workflows, as well as content intelligence capabilities that improve localization quality through scene, character, dialogue, and metadata awareness. These capabilities play a critical role in expanding the global reach, accessibility, and discoverability of WBD content by enabling content availability across more languages, markets, and audience segments. This is a hands-on product management role with a strong emphasis on execution, cross-functional coordination, and operationalizing AI/ML capabilities within content localization workflows. The ideal candidate is detail-oriented, comfortable working closely with engineering and program management, and experienced in defining requirements and driving delivery for AI/ML-powered systems and backend platforms. Key Responsibilities - Partner with engineering and program managers to drive execution across sprint cycles, including backlog management, story writing, feature clarification, dependency management, and release planning. - Write product requirement documents (PRDs) and define detailed functional and technical specifications for AI-powered localization workflows, including translation, dubbing, captioning, subtitle generation, audio description, editorial review, quality evaluation, and workflow orchestration systems. - Define and support capabilities that leverage content context, including character identity, dialogue history, scene metadata, terminology, style guides, content metadata, and franchise-specific knowledge to improve localization quality and consistency. - Support the evolution of localization workflows from asset-level processing to context-aware systems that leverage metadata, character relationships, dialogue history, content intelligence, and editorial feedback to improve quality and consistency at scale. - Collaborate with AI/ML teams to operationalize context-aware localization systems utilizing large language models (LLMs), metadata enrichment, retrieval-based approaches, and multimodal content understanding. - Facilitate near-term roadmap planning and coordination across engineering and partner teams supporting localization and content intelligence initiatives. - Drive cross-functional alignment and decision-making across AI/ML engineering, media supply chain, global content operations, human-in-the-loop (HITL) operations, editorial, legal, accessibility, and external vendor partners to remove blockers, manage dependencies, and ensure successful execution of localization programs. - Partner with Product Data Science to define and evaluate experimentation frameworks, interpret results, and assess localization quality, model performance, post-edit efficiency, workflow productivity, and business impact to inform product decisions and prioritization. - Work with engineering and system architects to define integration requirements across localization supply chain systems, order management platforms, editorial tools, content management systems, metadata services, and adjacent AI/ML platforms. - Assist in evaluating the impact of feature changes across adjacent systems on localization workflows and AI/ML pipelines, working with partner teams to scope dependencies and downstream effects. - Collaborate with stakeholders across content operations, localization teams, marketing, and cross-functional technology teams to gather requirements and incorporate feedback while effectively managing the uncertainty inherent in AI/ML development. - Partner with editorial and localization operations teams to design and optimize human-in-the-loop workflows, ensuring reviewer feedback mechanisms align with model evaluation, quality measurement, and continuous improvement objectives. - Directly support product operations, including triaging user feedback, investigating product issues, and partnering with engineering and program management to prioritize fixes and enhancements. What to Bring : - 9–12 years of product management experience, including experience as a Technical Product Manager. - Strong experience writing PRDs, defining features, and partnering with engineering teams through agile development and sprint execution processes. - Familiarity with machine learning systems, including deep learning and large language models, deployed in production environments. - Experience working with AI/ML systems on cloud platforms such as AWS or GCP, particularly those involving human-in-the-loop workflows, content processing pipelines, or post-editing workflows. - Strong attention to detail, with the ability to manage multiple concurrent feature tracks, dependencies, and decisions across complex systems. - Experience translating business and operational requirements into technical product capabilities and measurable outcomes. Preferred Qualifications: - Background in Computer Science, Engineering, Data Science, or a related technical field. - Familiarity with language AI technologies and media localization workflows, including Automatic Speech Recognition (ASR), Machine Translation (MT), Large Language Models (LLMs), Text-to-Speech (TTS), dubbing, captioning, subtitling, and audio description. - Experience with context-aware localization systems leveraging metadata, terminology management, style guides, character context, dialogue history, and retrieval-based approaches. - Familiarity with localization quality evaluation methodologies, human-in-the-loop review processes, and post-editing workflows. - Comfortable working with AI evaluation methodologies and quality metrics, including precision, recall, confidence scoring, translation quality assessment, and human evaluation frameworks. What Success Looks Like: - Deliver scalable AI-powered localization capabilities that improve localization quality, editorial efficiency, accessibility outcomes, and operational throughput. - Advance context-aware localization workflows by incorporating content metadata, character context, dialogue history, and editorial feedback into AI-assisted processes. - Drive measurable improvements in localization quality, post-edit effort, consistency, accessibility coverage, and cost efficiency across global content catalogs. - Successfully coordinate delivery across engineering, AI/ML, editorial, operations, legal, accessibility, and vendor teams while maintaining strong execution rigor and stakeholder alignment. - Help scale the organization's localization AI capabilities by translating emerging AI technologies into operationally viable products that deliver measurable business value What We Offer: - A Great Place to work. - Challenging ML problems in Media Domain. - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Manager, Machine Learning Engineering
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture. HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring! Manager, Machine Learning Engineering – Video AI & Studio AI Job Description What We Do We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows. Our work combines computer vision, multimodal learning, and machine learning to enable capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement across media content. We focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Our goal is to build scalable, high-quality solutions that power both content intelligence and creative workflows. What You’ll Do - Lead a team of machine learning engineers working on video AI across understanding and creative applications - Stay hands-on, contributing directly to modeling, prototyping, and production systems - Drive execution across the full ML lifecycle: problem definition, modeling, evaluation, and deployment - Partner with product, creative, and engineering teams to define priorities and deliver impactful ML-powered features - Build and scale production-grade ML systems for video understanding and creative workflows - Balance rapid iteration with building robust, scalable systems - Provide technical leadership and mentorship, raising the bar for ML and engineering practices - Collaborate with platform and infrastructure teams to ensure reliable and scalable solutions Qualifications & Experience - 8+ years of experience in machine learning / software engineering, with a focus on computer vision, video understanding, and gen AI - 2+ years of experience leading or mentoring engineers, with a strong preference for hands-on leadership - Strong experience with deep learning frameworks (e.g., PyTorch, TensorFlow) - Proven track record of building and deploying end-to-end ML systems in production - Strong background in computer vision, video understanding, or multimodal systems - Experience with large-scale datasets and distributed systems - Experience with generative AI techniques (e.g., diffusion, image/video generation) - Strong system design and architecture skills - Ability to operate in ambiguous, fast-moving environments while maintaining execution focus - Strong collaboration and communication skills across technical, product, and creative teams How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $187,670.00 - $348,530.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation. If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Senior Manager, Machine Learning Engineering (Data...
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Senior Manager, Machine Learning Engineering (Data & Audience Platform), Hyderabad About Warner Bros. Discovery Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com. Meet Our Team Warner Bros. Discovery (WBD) is home to the world’s most iconic entertainment, news, and sports brands — HBO Max, CNN, Discovery+, DC, Warner Bros., Bleacher Report, Food Network, and many more. Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team in Hyderabad builds the foundational AI/ML intelligence that powers identity, audience, advertising, and personalization across every WBD brand. We turn first-party signals from hundreds of millions of viewers into production ML systems that expand addressable audiences, sharpen targeting and measurement, forecast demand, and personalize content discovery — directly driving advertising yield, marketing efficiency, engagement, and retention. At WBD, MLEs do rigorous data science and own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks , with strong working knowledge of Snowflake and AWS , and we are an early, enthusiastic adopter of agentic AI development workflows. About the Role This is the most critical hire for WBD’s Hyderabad ML Engineering build-out. As Senior ML Engineering Manager, you will establish, lead, and grow the Hyderabad ML Engineering center of excellence — a team of seven individual contributors spanning identity intelligence, audience intelligence, content affinity modeling, forecasting, and ML platform engineering. You will be the single accountable leader for the team’s technical execution, people development, and cross-functional delivery in India, operating as a true extension of the Director of Engineering. All of the Hyderabad ML/DS individual contributors report to you, and you report into the Director. This role demands an exceptional blend of technical depth (you must credibly engage in Staff-level ML architecture discussions), people leadership (you will manage a diverse IC ladder from MLE 2 to Staff), and organizational influence (you will represent Hyderabad across WBD’s global data, product, and advertising organizations). You are not just a manager — you are a builder, a technical partner, and a culture carrier. Roles & Responsibilities: Team Leadership & People Development - Directly manage 7 ICs (2× MLE 2, 3× Senior MLE, 1× Staff MLE, 1× Staff DS); own their performance, growth, and career development. - Establish a high-performance engineering culture: technical excellence, ownership, psychological safety, rigorous experimentation, and continuous learning. - Define clear role expectations, growth paths, and promotion criteria aligned with WBD’s global ML engineering job family; conduct regular 1:1s, performance reviews, and career conversations, addressing performance gaps proactively. - Lead hiring for the Hyderabad team: define the hiring bar, design interview processes, attract top ML talent, and build a strong, diverse local pipeline. - Foster an inclusive, collaborative environment that bridges India and US time zones effectively. Technical Leadership & Oversight - Maintain sufficient technical depth to review ML architecture proposals, challenge design decisions, and unblock technical escalations across all workstreams. - Partner with the Staff MLE to set and enforce technical standards: MLOps practices, code quality, model-evaluation rigor, and documentation. - Own the technical roadmap for the team’s ML systems — identity intelligence, audience intelligence, content affinity, forecasting — in alignment with global ML strategy. - Drive adoption of the team’s core stack: Databricks (primary), AWS SageMaker, Snowflake, MLflow, and agentic AI tooling (Cursor, Copilot, Amazon Q, Databricks Genie, Snowflake Cortex, MCP). - Ensure production ML systems are reliable, monitored, cost-efficient, and continuously improved; own the team’s on-call and incident-response posture. Program Execution & Delivery - Own end-to-end delivery accountability for Hyderabad’s ML projects: scope, milestones, dependencies, risks, and stakeholder communication. - Run effective agile processes adapted to ML realities (research uncertainty, data dependencies, experiment iteration), with D90 planning rhythms and quarterly OKR alignment. - Proactively identify and resolve cross-team dependencies with Data Engineering, Product, Ad Sales, and Legal/Privacy. - Maintain a clear view of capacity, prioritization trade-offs, and commitments; communicate status and risks transparently to the Director. Key ML Workstream Ownership - Identity Intelligence: oversee delivery of the probabilistic ID spine — resolving unauthenticated signals (device IDs, 1P cookies) to households/persons with calibrated confidence across all WBD brands. - Audience Intelligence: oversee ML Promo Optimizer, STAT v2 (single-title affinity retrieval), lookalike modeling (LAL 2.0+ in Snowflake DCR), and segmentation that power advertising and marketing activation. - Content Affinity & Personalization: oversee genre-preference and content-affinity models and engagement-based personalization signals feeding HBO Max and CNN surfaces. - Forecasting: oversee ML-based audience, engagement, and yield/revenue forecasting supporting Finance, Content, and Marketing planning. - MLOps Platform: ensure the team’s feature store, training/serving pipelines, model registry, and monitoring are production-grade, well-documented, and consistently adopted. Cross-functional & Organizational Leadership - Serve as the primary point of contact for the Hyderabad ML team across Product, Marketing, Ad Sales, Data Engineering, Legal/Privacy, and Finance. - Build strong relationships with US-based ML leadership, Data Science, and Platform Engineering counterparts so Hyderabad is a fully integrated — not siloed — part of the global ML organization. - Partner with the Director on long-range team strategy, capability planning, and organizational design; represent WBD ML externally where appropriate (talent branding, university partnerships). - Ensure ML systems meet privacy, governance, and compliance requirements. Agentic AI & Innovation Culture - Champion agentic AI development: establish norms for using Cursor, GitHub Copilot, Amazon Q, and MCP-based tooling to accelerate ML velocity, with measurable improvements in quality and lifecycle efficiency. - Drive strategic adoption of Databricks Genie (governed, self-service NL interfaces over Unity Catalog) and Snowflake Cortex (Copilot/Analyst, Cortex Search, and selective Fine-Tuning) so ML outputs are accessible to non-technical stakeholders. - Create space for innovation: structured prototyping time, internal tech talks, and contribution to WBD’s broader ML community of practice; bring relevant external insights into the roadmap. What You’ll Bring - 12+ years of total experience in ML, data science, or ML engineering, including 3–5+ years in engineering management. - Demonstrated success leading and growing teams of ~6–12 ML engineers and/or data scientists, including a multi-level IC ladder (junior through Staff). - Strong technical foundation in ML: you can read and critique model-architecture proposals, review ML code, and engage credibly in Staff-level discussions — you have personally built and shipped production ML. - Hands-on (current or recent) experience with the ML stack: Python, Databricks/Spark, MLflow, cloud ML (AWS SageMaker preferred), and SQL/Snowflake. - Proven track record delivering complex, multi-month ML projects in production at scale. - Experience in a matrixed, global organization with cross-timezone collaboration. - Excellent communication: translating technical complexity for executive and non-technical audiences, and business context for engineers. - Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field. Preferred - ML leadership in streaming, media, ad-tech, or consumer internet — particularly audience modeling, identity resolution, personalization, or recommendations. - Familiarity with WBD’s ecosystem: Databricks, Snowflake, AWS, FreeWheel/GAM, or equivalent ad-tech activation stacks. - Experience managing teams across India and US time zones, and building ML teams from early stages (hiring bar, onboarding playbooks, culture). - Familiarity with Databricks Genie, Snowflake Cortex, MCP, and modern AI-assisted development workflows. - Experience with Data Clean Rooms and privacy-preserving ML. What We Offer: - A Great Place to work - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Sr. Staff, Data Science & Applied AI
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. As Sr. Staff – Data Science & Applied AI (Cloud AI), you will be a core technical contributor within WBD’s AI Center of Excellence (CoE). This role is designed for a hands-on senior architect who operates at the intersection of enterprise architecture, applied AI, Generative AI, agentic AI, and cloud platform engineering. You will translate complex business challenges into scalable AI solution architectures, production-ready platforms, and reusable technical patterns that drive measurable enterprise value. You will serve as a senior individual contributor, partnering closely with Product, Engineering, Data, Security, and Business stakeholders to design, govern, and scale modern AI solutions across the organization. The role combines solution architecture leadership with deep expertise in GenAI application design, agentic systems, and AI cloud architecture on AWS and Snowflake. Enterprise AI Solution Architecture - Define end-to-end solution architecture for enterprise AI, GenAI, and agentic AI applications aligned to business and technology strategy. - Translate business workflows and operational challenges into scalable AI solution patterns, including autonomous and semi-autonomous agent use cases. - Partner with product, engineering, data, and business teams to move AI and GenAI use cases from concept and pilot into production at enterprise scale. - Create reusable architecture patterns, accelerators, reference implementations, and technical standards to speed AI adoption across teams. AI Cloud & Platform Architecture - Design and govern the cloud architecture for AI/ML/GenAI platforms across AWS and Snowflake. - Define scalable patterns for compute, storage, networking, identity, security, environment setup, and enterprise integration across development, test, and production environments. - Build architecture patterns for MLOps and LLMOps covering deployment, experimentation, model lifecycle management, monitoring, retraining, and version control. - Ensure platform reliability, resilience, observability, compliance, and cost optimization for AI solutions in production. - Establish architecture standards and reference frameworks that accelerate AI solution delivery across business domains. Productionization, Engineering & Governance - Collaborate with Data Engineering, Platform Engineering, DevOps, and Security teams to productionize AI and GenAI solutions in scalable cloud environments. - Design CI/CD and automation patterns for model deployment, prompt/version management, testing, release control, and operational support. - Implement monitoring for model drift, prompt drift, performance degradation, usage patterns, system health, and data integrity. - Support governance, risk management, and responsible AI initiatives by embedding security, privacy, compliance, and auditability into solution design. - Innovation & Technical Leadership - Stay current with advancements in foundation models, multimodal AI, agent frameworks, orchestration patterns, and cloud-native AI services. - Provide architecture guidance, design reviews, and technical mentorship across cross-functional teams. - Contribute to enterprise-wide AI best practices, reusable frameworks, and technical decision-making to elevate the maturity of the AI ecosystem. Qualifications & Experiences: - Bachelor’s degree, Master’s degree, or higher in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. - 8+ years of relevant experience in solution architecture, data science, machine learning, or AI engineering, with at least 2+ years of experience in Generative AI / LLM-based solutions. - Demonstrated track record of designing and delivering production-grade AI/ML/GenAI solutions with measurable business impact. - Strong experience in architecting enterprise AI solutions across business workflows, data ecosystems, and cloud platforms. - Hands-on expertise in building and scaling GenAI and LLM applications, including prompt engineering, RAG architectures, semantic search, embeddings, and evaluation frameworks. - Experience designing or supporting agentic AI systems, including orchestration, tool usage, memory, guardrails, and human oversight patterns. - Deep understanding of cloud-native AI/ML architecture principles, including deployment patterns, platform reliability, observability, security, and cost optimization. - Experience establishing reusable architecture patterns, technical standards, and governance controls for AI systems in enterprise environments. - Strong collaboration skills with Product, Engineering, Data, Security, and Business teams in global, cross-functional settings. Key Technical Skills & Expertise - Hands-on experience supporting Generative AI and ML workloads on enterprise cloud platforms, including AWS and Snowflake - Strong working knowledge of LLM-based systems, including model hosting, inference optimization, and integration into cloud-native architectures. - Experience enabling RAG pipelines and GenAI applications through secure data access patterns, vector search, and enterprise data integration. - Familiarity with embedding models, semantic search, and vector storage technologies, including OpenSearch vectors and Snowflake Cortex Search. - Understanding of LLM evaluation considerations within platform architecture, including performance monitoring, cost optimization, and quality metrics. - Experience designing MLOps and LLMOps architectures for model deployment, monitoring, retraining, and lifecycle governance. - Strong expertise in AWS cloud architecture, including VPC, IAM, S3, ECS/EKS, SageMaker, Bedrock, and observability tooling. - Hands-on experience with infrastructure as code, CI/CD pipelines, and containerized AI workloads (Docker, Kubernetes). - Working knowledge of Snowflake architecture, including Snowpark, Snowpipe, Streams & Tasks, and Cortex AI. - Deep understanding of Responsible AI, data security, privacy controls, and governance requirements for enterprise AI platforms. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
Senior Staff Product Manager - Technical (AI/ML),...
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Senior Staff Product Manager – Technical (Data & Audience Platform Team), Hyderabad About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com . Meet our team The Data and Audience Platform team sits within the Data & Analytics organization in WBD's Global Tech division. We build the data platform behind our streaming services and content businesses - the pipelines, data lakes, and serving infrastructure that turn billions of events into audience insights, personalization, and intelligent products. About the Role The Senior Staff Product Manager-Tech, AI/ML Roadmap and Platform Strategy, will define and drive the Data & Audience Platform (DAP) AI roadmap across predictive ML, GenAI, agentic workflows, AI-enabled analytics, data activation, and AI-native platform capabilities. This role is intentionally AI-centric: it exists to elevate DAP from a data and analytics platform organization into a product-led AI enablement function that identifies the highest-value AI opportunities, chooses the right technologies, and converts experimentation into durable business outcomes. This role will be accountable for disciplined AI product strategy: selecting the right problems, validating that the newest technology is actually the best fit, defining measurable business value up front, and ensuring platform investments are reusable, governed, cost-aware, and scalable. The role will work across DAP, engineering, analytics, data science, architecture, product, operations, privacy/legal, AI governance, and senior leadership to make AI investments actionable, safe, and outcome driven. Roles & Responsibilities: - Shape AI product strategy and roadmap priorities across DAP platform areas. - Evaluate AI/ML opportunities through value, feasibility, cost, data readiness, governance, and reuse lenses. - Write AI-focused PRDs, product briefs, model/agent behavior requirements, evaluation criteria, and launch readiness requirements. - Partner with engineering, data science, and architecture to compare model, platform, vendor, and implementation tradeoffs. - Define KPIs and decision frameworks that connect AI outputs to business outcomes. - Run AI roadmap, prioritization, value review, and post-launch measurement forums. - Translate complex AI/ML concepts into clear executive narratives and actionable decisions. - Identify when AI work should be standardized as a shared platform capability versus delivered as a bespoke solution. - Work with cross-functional teams to intake, define, identify risks, and schedule work to develop key features. - Formulate a point of view on how proposed features align with business goals and our tech strategy. What to Bring: - 12+ years of product management, technical product management, AI/ML product strategy, data platform, analytics, or related experience. - Deep experience defining and delivering AI/ML, GenAI, data platform, customer intelligence, analytics, activation, or enterprise platform products at scale. - Strong working knowledge of AI/ML product concepts including model lifecycle, experimentation, model evaluation, MLOps, data quality, governance, semantic layers, feature/data products, and post-launch performance measurement. - Practical fluency in modern AI patterns such as LLMs, RAG, agentic systems, AI orchestration, prompt and agent lifecycle management, human-in-the-loop workflows, and AI observability. - Demonstrated ability to set product vision and direction across multiple teams and highly ambiguous technical domains. - Strong ability to evaluate technology tradeoffs across capability, quality, scalability, privacy, security, cost, maintainability, and business value. - Excellent executive communication skills with the ability to translate technical AI concepts into clear decisions, narratives, and value cases. - Proven ability to influence without authority across engineering, architecture, data science, TPM, analytics, operations, business, governance, and senior leadership teams. - Track record of delivering measurable customer, business, operational, or platform impact from technical product investments. The Nice to Haves - Experience with streaming media, digital video, Customer 360, personalization, recommendations, content intelligence, advertising analytics, audience activation, commerce analytics, marketing analytics, or global platform products. - Experience with AI governance, responsible AI, model risk review, privacy/security requirements, or compliance needs for AI-powered products. - Experience creating scalable intake, prioritization, value management, and post-launch measurement mechanisms for AI portfolios. - Experience with AI cost management, cloud/data platform FinOps, model inference cost tradeoffs, vendor evaluation, or build/buy/reuse decisioning. - Experience mentoring senior PMs / PM-Ts and raising product craft across a matrixed organization. What We Offer: - A Great Place to work. - Equal opportunity employer - Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
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