Search AI Jobs

N

Manager, Technical Delivery APAC - NVIS

Negotiable

Are you a technically seasoned leader with a passion for driving excellence in AI, HPC, and data center infrastructure delivery? Do you thrive in leading technical teams to build and deploy some of the world’s largest and fastest AI/HPC systems across the APAC region? At NVIDIA, we are revolutionizing deep learning, data analytics, and data center capabilities, and we are seeking a Senior Technical Delivery Manager (People Manager) to oversee a team of technical specialists—with end-to-end technical control over InfiniBand, HPC, and AI cluster delivery across APAC. This role requires a strong technical background in NVIDIA DC products (networking, InfiniBand, AI orchestration tools), full-stack data center technologies (storage, server, networking, virtualization, GPU), and deep understanding of AI technology, paired with proven people management skills to lead a team of a few to dozens of technical professionals. Additionally, you should be bilingual (English and Mandarin) and have a solid grasp of the APAC business model, as well as experience engaging with Chinese customers. As a key leader in NVIDIA’s Infrastructure Specialist Team, you will serve as the Senior Technical Delivery Manager, owning people management for a team of Senior Networking (HPC/IB/AI) Solutions Architects and technical specialists, while providing overall technical control for all InfiniBand, HPC, and AI cluster delivery projects in the APAC region. You will balance team leadership, technical oversight, and customer-centric delivery—leveraging your understanding of the APAC business model and Chinese customer needs—to ensure alignment with NVIDIA’s strategic goals and maintain the highest standards of technical excellence and customer satisfaction. Your deep expertise in AI technology and full-stack DC technologies (storage, server, networking, virtualization, GPU) will be critical to guiding the team and delivering successful projects. What you will be doing: - Lead, manage, and develop a high-performing technical team (size: a few to dozens of members) of Senior Networking (ETH/IB) Solutions Architects and technical specialists, overseeing the full people management lifecycle—hiring, onboarding, performance management, career development, coaching, and retention—fostering a collaborative, technically driven team culture.Provide overall technical control for all InfiniBand, HPC, and AI cluster delivery projects across the APAC region, ensuring technical excellence, adherence to NVIDIA DC product standards, and alignment with customer requirements. - Oversee the design, deployment, and operational reliability of large-scale AI/HPC infrastructure for new and existing customers in APAC, with a focus on InfiniBand networking, HPC clusters, and AI orchestration tools (e.g., BCM - Base Command Manager). - Lead technical decision-making for complex delivery projects, leveraging your deep understanding of AI technology and full-stack DC technologies (storage, server, networking, virtualization, GPU) to resolve critical technical challenges related to InfiniBand networks, data center architecture, network automation, and GPU-accelerated infrastructure. - Drive continuous improvement in delivery processes, leveraging your deep technical expertise to optimize workflows for network provisioning, system design, automation, and post-deployment support (monitoring, logging, alerting). - Collaborate closely with cross-functional teams (engineering, sales, product, support) to align technical delivery strategies with NVIDIA’s product roadmap, especially for NVIDIA DC products (networking, InfiniBand, AI orchestration tools). - Build and maintain trusted relationships with key customers (including Chinese customers) and partners across APAC, leveraging your understanding of the APAC business model and bilingual communication skills to serve as the technical leadership point of contact for large-scale AI/HPC delivery projects and address strategic technical and business needs. - Ensure the team adheres to technical best practices, compliance standards, and NVIDIA’s quality requirements, while driving accountability for project delivery timelines, budgets, and customer satisfaction. - Coach and mentor team members to enhance their technical skills in InfiniBand, HPC, AI infrastructure, and NVIDIA DC products, empowering them to deliver complex projects independently and grow their careers. - Monitor team performance, track project progress, and communicate technical delivery status, challenges, and solutions to senior leadership in a clear, data-driven manner. What we need to see: - BS/MS/PhD or equivalent professional experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related technical field. - 10+ years of progressive technical experience in data center infrastructure, or equivelent exprience, and 5+ years of people management experience leading a technical team (size: 10 or more members). - Strong technical background in NVIDIA DC products (networking solutions, InfiniBand, AI orchestration tools, e.g., BCM - Base Command Manager), GPU-accelerated infrastructure, and full-stack data center technologies including storage, server, networking, virtualization. Additionally, a deep understanding of AI technology and its integration with DC infrastructure is required. - Deep expertise in networking fundamentals, TCP/IP stack, data center architecture, and InfiniBand networks—with hands-on experience in medium to large-scale HPC/AI environments. - Demonstrated experience overseeing end-to-end technical delivery of large-scale AI/HPC infrastructure projects, with a focus on performance, reliability, and customer satisfaction. - Strong people management skills: ability to lead, coach, and develop technical teams, foster collaboration, and drive accountability in a fast-paced, dynamic environment. - Fluent in both English and Mandarin (bilingual), with excellent customer-facing and communication skills (verbal and written in both languages), enabling effective engagement with customers (including Chinese customers), partners, and cross-functional teams across the APAC region. - Based in APAC, with a solid understanding of the APAC business model to address their unique technical and business requirements. Ability to support regional delivery needs and collaborate across time zones. - Proven track record of resolving complex technical challenges and driving continuous improvement in technical delivery processes. - Self-motivated, results-driven, and able to balance technical oversight with people management responsibilities. Ways to stand out from the crowd: - Linux or Networking Certifications (e.g., CCNP, CCIE, HCIE) or NVIDIA-related certifications. - Extensive experience with HPC job schedulers (Slurm, PBS) and cluster management technologies (BCM - Base Command Manager is a strong plus). - Familiarity with cloud networks (AWS, GCP, Azure) and hybrid cloud infrastructure delivery in APAC. - Experience leading technical teams in a professional services or tech vendor environment, with a focus on top CSP customers in the APAC region. - Deep understanding of AI/ML workloads, their integration with HPC/InfiniBand infrastructure, and full-stack DC technologies (storage, server, networking, virtualization, GPU)—with hands-on experience optimizing performance for GPU-accelerated systems.

N

Senior Solutions Architect, Embedded Physical AI

Negotiable

Physical AI is redefining what robots can do, and embedded platforms are where that future becomes real! We are looking for a hands-on Solutions Architect with deep embedded systems expertise to serve as a technical anchor for NVIDIA’s Physical AI ecosystem. This role sits at the intersection of hardware bring-up, sensor integration, and deployment of next-generation robotics models. You will bridge pioneering research and real-world application engineering, working closely with customers and NVIDIA Engineering, Product, Sales, and Ecosystem teams to turn prototypes into production-grade, AI-accelerated robotics systems. Are you are passionate about Robotics and ready to make a meaningful difference? If so, this role fits you! What you'll be doing: - Serve as the primary embedded systems expert for NVIDIA Physical AI partners using technologies such as Jetson, Holoscan, Isaac ROS, Isaac OS, GR00T. - Engage with customers to ensure smooth integration of production stacks, including real-time Linux environments, ROS 2, sensor pipelines, and edge AI models. - Deploy, profile, and optimize robotics foundation models (VLAs, World Models) on embedded computers and guide customers on tradeoffs - Translate customer requirements into practical NVIDIA-based architectures, and work closely with internal teams to feed field insights into product feedback and roadmap priorities. - Lead technical discussions, presentations, and hands-on workshops with key partners, while developing proof-of-concepts, and reference implementations. What we need to see: - BS in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical Engineering, or a related field (or equivalent experience). - 5+ years of hands-on experience in embedded systems, including developing on NVIDIA Jetson, performance tuning, and system-level debugging. - Strong fluency in ROS 2 and background in deploying robotics autonomy stacks, and sim-to-real validation workflows. - Previous work integrating sensor pipelines such as cameras, LiDAR, and IMU - Proven expertise in AI model deployment, optimization, and GPU profiling on edge hardware, using SDKs like TensorRT - Outstanding communication and collaboration skills, with the ability to translate complex technical concepts for researchers, engineers, and business teams. Ways to stand out from the crowd: - Hands-on experience with NVIDIA Robotics libraries such as Isaac ROS and cuVSLAM, as well as simulation frameworks like Isaac Sim and Isaac Lab - Familiarity with deploying and optimizing VLMs, VLAs (such as GR00T) or World Models (such as Cosmos) on edge platforms, including techniques like quantization, compression, and distillation. - Experience with camera and sensor software stacks such as NVIDIA’s HSB (Holoscan Sensor Bridge), V4L2, GMSL cameras, ISP tuning, or high-throughput video processing. - Prior experience with real-time and safety-aware embedded robotics systems in industries like autonomous vehicles or manufacturing. - Experience using agentic tooling to accelerate integration, debug, and build reference-implementation work. 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 11, 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.

N

Senior AI Compute Engineer - NVIS

Negotiable

NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation. What you will be doing: - Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. - Be the domain expert with customers during planning calls through implementation. - Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world! - Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: - 8+ years providing in-depth support and deployment services; solving problems for hardware and software products. - Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring). - Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)). - Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience. - Scripting proficiency (Bash, Python, Ansible, etc.). - Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise. - Strong organizational skills and ability to prioritize/multi-task easily with limited supervision. - Experience with schedulers such as SLURM, LSF, UGE, etc. - An ability to travel to customer sites within the United States up to 20% of the time. - Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience. Ways to stand out from crowd: - InfiniBand experience. - Experience with GPU (Graphics Processing Unit) focused hardware/software. - Experience with MPI (Message Passing Interface). - Storage technologies such as Lustre or GPFS. - Familiarity with OEM GPU platforms 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 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 11, 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.

N

Senior Technical Marketing Engineer, Enterprise AI...

Negotiable

The NVIDIA Enterprise Product Group builds AI solutions that help enterprises develop, deploy, and scale generative AI, agentic AI, retrieval-augmented generation, and accelerated data workflows from developers laptops to deployed in data centers, clouds, and AI factories. We are looking for a Senior Technical Marketing Engineer focused on Enterprise AI Software, and accelerating adoption of NVIDIA AI software by creating technical content, developer journeys, demos, reference examples, deployment guides, and documentation that make complex systems understandable and actionable. Act as a bridge between NVIDIA’s enterprise AI software stack and the developers, platform teams, partners, solution architects, and customers who need to build with it. This includes helping audiences understand how NVIDIA AI Enterprise, NIM microservices, Dynamo, NeMo, RAG and agentic AI blueprints, inference platforms, Kubernetes-based deployment patterns, and developer frameworks and libraries fit together across the full stack. We're looking for someone passionate about building scalable AI software, creating excellent technical content, and helping developers adopt cutting-edge technology, At NVIDIA, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join us and see how you can make a lasting impact on the world! What You'll Be Doing: - Refine developer, user, and agent journeys: Understand how developers, enterprise platform teams, partners, and customers, and their respective agents, consume NVIDIA AI software, then craft clear technical journeys supported by documentation, code examples, demos, and deployment guidance. - Showcase enterprise AI software workflows: Build demos, reference examples, notebooks, and sample applications that show how NVIDIA AI software components work together across model development, inference, RAG, agentic AI, evaluation, deployment, and operations. - Build compelling technical assets: Accelerate adoption by creating public-facing content such as product documentation, deployment guides, reference architectures, tutorials, blog posts, whitepapers, technical presentations, webinars, demo videos, and code examples. - Develop automation and docs-as-code workflows: Create repeatable examples and publishing workflows using Git-based documentation, CI/CD, scripts, templates, and AI-assisted docs or skills where appropriate. - Enable the field and partner ecosystem: Support solution architects, sales teams, cloud partners, ISVs, and ecosystem teams with technical assets that help them explain, deploy, and integrate NVIDIA enterprise AI software. - Collaborate across the stack: Work closely with Technical Marketing Engineering, Product Management, Engineering, Developer Relations, Field, and Marketing teams to turn product capabilities into practical adoption paths. - Capture feedback and improve the product experience: Use customer, partner, developer, and field feedback to identify gaps in usability, examples, documentation, deployment patterns, and product workflows. - Engage the developer and open source community: Advocate for NVIDIA AI software in developer, cloud-native, and open source ecosystems, encouraging adoption through clear examples and practical technical storytelling. What We Need To See: - BS or MS in Computer Science, Engineering, AI/ML, Data Science, or another technical field, or equivalent experience. - 12+ years of proven experience in technical marketing engineering, software development, developer relations, solution architecture, technical writing, product engineering, or a related technical role. - Hands-on experience building, deploying, or explaining AI/ML, generative AI, RAG, agentic AI, LLM-based applications, inference services, or enterprise software workflows. - Experience creating customer-facing technical assets, including product documentation, deployment guides, code examples, tutorials, whitepapers, blog posts, presentations, webinars, or demo videos. - Proven experience with cloud-native software development and deployment patterns, including containers, Kubernetes, Helm, APIs, SDKs, CI/CD, and Git-based workflows. - Strong technical judgment and ability to understand engineering developments, make practical decisions, defend technical opinions, and translate sophisticated details into useful content. - Excellent written, spoken, and visual communication combined with strong cross-functional collaboration skills, with the ability to balance multiple projects, prioritize under deadlines, and work effectively across engineering, product, field, marketing, and partner teams. Ways To Stand Out From The Crowd: - Examples of published technical work you authored or built, such as documentation, blogs, tutorials, videos, conference talks, demos, GitHub projects, notebooks, or developer guides. - Experience with NVIDIA AI software or adjacent technologies such as NVIDIA AI Enterprise, NIM, NeMo, TensorRT, Triton Inference Server, RAPIDS, CUDA, AI Blueprints, DGX Cloud, Run:ai, GPU Operator, or Network Operator. - Experience building enterprise-grade generative AI applications, RAG systems, autonomous agents, inference platforms, evaluation workflows, or AI factory software patterns. - Experience working directly with enterprise customers, cloud providers, ISVs, solution architects, sales teams, or partner engineering teams. NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you! NVIDIA benefits is available online at Benefits and Support Programs | NVIDIA Benefits 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 11, 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.

N

AI Infrastructure Software Engineer — CosmosLab

Negotiable

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. Are you excited to explore new frontiers in AI? Join NVIDIA’s Cosmos Lab Infra team and take part in the innovation building the training infrastructure that supports our Physical AI world foundation models. Here is your opportunity to design, assemble, and improve the infrastructure for large-scale AI training, spanning pre-training, supervised fine-tuning (SFT), and reinforcement learning (RL) post-training. Embark on a journey where your work will be essential to influencing the future of AI! What you'll be doing: - Create and implement the training infrastructure spanning pre-training, SFT, and RL post-training for Physical AI world foundation models. The work involves the framework and a comprehensive control plane across clusters to coordinate workloads efficiently. - Develop and improve the pre-training and SFT pipelines — large-scale data loading, distributed training, and checkpointing — to achieve high throughput and scalability. - Develop and improve the inference and evaluation stack, including the inference engine, inference/generation pipelines (which also support RL rollout), and evaluation pipelines. Use methods like continuous batching and KV-cache management to achieve high throughput and low latency. - Build and improve the effective interaction and data flow among the RL system's roles (policy, rollout, reward, simulation) while investigating system-level optimization opportunities. - Integrate and orchestrate simulation and robotics environments as RL environments — driving the simulation↔rollout↔training loop at scale. - Build and refine the distributed training backend — sharding/parallelism, mixed precision, activation checkpointing, and memory/throughput optimization across many GPUs. - Improve the efficiency, scalability, and resiliency of training and RL workloads — focusing on fault tolerance, fast/elastic restart, and throughput optimization under preemption and hardware failure. - Define meaningful, actionable reliability and efficiency metrics to track and improve system reliability. - Root cause, triage, and resolve failures from the application level down to the framework, GPU, and network/hardware level. What we need to see: - 5+ years developing software infrastructure for large-scale AI or distributed systems. - Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience). - Strong debugging and triage skills across the stack — from AI application down to GPU/hardware behavior. - Proven track record building and scaling large-scale distributed systems, ideally distributed training or inference. - Hands-on experience with AI training and/or inference infrastructure — RL/post-training, training frameworks, or inference serving. - Proficiency in Python (plus scripting), and solid software engineering practices: testing, defensive programming, version control, and CI. - Excellent communication and collaboration skills; intellectual curiosity, problem-solving, and willingness. Ways to stand out from the crowd: - Experience building RL / post-training infrastructure — PPO/GRPO/DPO pipelines, rollout engines, and asynchronous RL. - Background with building large-scale, production-grade pre-training / SFT infrastructure. - Experience integrating simulation / robotics environments into training or RL loops — including vectorized environments and sim-to-real workflows. - Comprehensive knowledge of DL framework internals — PyTorch (FSDP/DTensor) and Megatron or equivalent experience, distributed training, and related optimization techniques. - Proficiency in C/C++/CUDA for performance-critical components and custom kernels. 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/

N

Senior C++ Software Engineer - Chip Design Tools

Negotiable

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 challenges that are hard to tackle, that only we can pursue, 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! Our team is responsible for development and support of infrastructure tools used by design engineers for build and verification of architectural, rtl, and gate level designs. As a software engineer, you will craft highly efficient software to automate and facilitate chip design and verification processes. What You'll be Doing: - Work as a team to build reliable, scalable and high performance software that are easy to use by hundreds of engineers worldwide. - Develop software tools in C++/Golang to analyze and construct chip designs described in C++, Verilog or domain-specific languages (DSLs). - Research and develop software solutions to allow greater efficiency in architecture, hardware and software teams. - Optimize the daily workflows of the world's top chip modelers and designers. What We Need to See: - BS (or equivalent experience) and 5+ years of software development experience., MS (or PHD) preferred. - Experienced with C++ or Golang, Unix/Linux. - Solid understanding of algorithms, computer architecture and computer science theory - Experienced with VLSI frontend design and verification - Flexibility/adaptability for working in a global and dynamic environment with different frameworks and requirements Ways to stand out from the crowd: - Good architecture and RTL design knowledge - Strong expertise in modern C++,   compiler, build systems, and database. - Experienced with static and dynamic code analysis tools 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 11, 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.

N

Senior Software Engineer, Agentic AI Systems

Negotiable

At NVIDIA, we are building the next generation of AI-native software systems. As AI evolves from assistant-based workflows to autonomous systems capable of reasoning, planning, and acting, we are looking for exceptional engineers to help define and build the underlying platforms that power this transformation. As a Senior Software Engineer, Agentic AI Systems, you will design and develop production-scale AI systems that combine large language models, retrieval, memory, orchestration, evaluation, and tools into intelligent software capable of solving complex real-world problems. This role sits at the intersection of AI, distributed systems, software engineering, and developer productivity. What You'll Be Doing: - Design and implement intelligent systems that can reason, plan, and execute complex multi-step workflows. - Develop architectures that combine LLMs, retrieval systems, memory, tools, and feedback loops. - Build autonomous and semi-autonomous workflows that improve engineering productivity and operational efficiency. - Design scalable backend services, APIs, and distributed systems supporting AI-native applications. - Build orchestration frameworks for multi-agent and tool-based systems. - Develop evaluation frameworks that measure accuracy, reliability, latency, and task completion. - Partner with AI researchers, infrastructure teams, product teams, and software engineering organizations. What We Need To See: - BS, MS, or PhD in Computer Science, Computer Engineering, or a related field. - 5+ years of software engineering experience. Strong proficiency in Python and modern software development practices. - Experience building scalable distributed systems and cloud-native services. Experience developing AI-enabled applications using LLMs, RAG, agent frameworks, or workflow orchestration systems. - Proven experience designing, building, and operating large-scale production software systems. - Strong understanding of distributed systems, scalability, reliability, observability, and performance engineering. - Demonstrated ability to own services from architecture and implementation through production operations and long-term maintenance. - Ability to balance rapid innovation with engineering rigor, maintainability, and operational excellence. Ways To Stand Out From The Crowd: - Experience building production AI agents or autonomous systems. Experience with reasoning frameworks, planning systems, memory architectures, and tool-use ecosystems. - Experience with vector databases, retrieval systems, knowledge graphs, or semantic search. Experience with AI evaluation, benchmarking, and observability platforms. - Built and operated business-critical platforms serving large user bases or high-volume workloads. - Experience modernizing early-stage prototypes into robust production systems. - Deep expertise in system architecture, reliability engineering, and technical leadership.Track record of reducing operational complexity while increasing scalability and maintainability. We are looking for engineers who can build systems, not just features. The ideal candidate has experience architecting and operating large-scale, production-grade software that remains reliable, maintainable, and extensible as it grows. While AI expertise is valuable, we place equal importance on strong software engineering fundamentals, system design, operational excellence, and long-term ownership. We are looking for engineers who see AI agents not as prompts, but as software systems.

N

Senior System BIOS UEFI Firmware Developer – Serve...

Negotiable

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. - Working with a global team of BIOS developers on NVIDIA server 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 AMI/Insyde or EDK2 Firmware architecture. - 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. - Strong experience with RAS. - 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 or higher; in Electrical Engineering or Computer Science, and 8 years of experience, with demonstrated strong ability as individual contributor. Ways to stand out from the crowd: - Proven record in delivering system BIOS design on servers - Experience working with AMI/Insyde BIOS solutions on x86 designs. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

N

Senior Packaging Technical Engineer - Hardware

Negotiable

We are now looking for a Senior Packaging Technical Engineer. 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 tackle, and that matter to the world. This is our life’s work , to amplify human imagination and intelligence. Make the choice to join us today. What you’ll be doing: - Your responsibilities include defining the chip pad ring, substrate interconnect scheme, and lead the package layout design process. - We collaborate with large teams consisting of Circuit, Signal Integrity, RTL, Place and Route, substrate layout and system design Engineers and Managers. - Work to define a chip floor plan, pad ring, substrate, and ball out implementing a robust world-class electrical package! - Communicate effectively with various teams throughout the company What we need to see: - BSEE or equivalent experience. - Minimum of 8+ years in board/system design. Experience with package design is preferred. - Good understanding of transmission line theory, power delivery and signal integrity is desired. - Strong programming and scripting skills in Perl, Python, Tcl desired, Cadence Skill and EXCEL familiarity are helpful. - Enthusiastic and able to work with a minimum of supervision. - You seek to solve complex technical problems. 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? If so, we want to hear from you.

N

Senior Perception Engineer - Autonomous Vehicles

Negotiable

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA’s autonomous driving solutions. As a member of our perception team, you will work on building world-class 3D obstacle perception solutions based on multi-sensor fusion, including cameras, ultrasonic sensors, and radar, to estimate high-resolution reconstruction of the world. The primary approach will be deep learning. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime. What you’ll be doing: - Perception experts with application focus will be on multi-sensor fusion based deep learning model development for obstacle perception/fusion in complex driving environments. - Applied research and development of innovative deep learning and multi-sensor fusion algorithms to improve output accuracy of 3D obstacle perception solutions under challenging and diverse scenarios. - Identify and analyze the strength and weakness of the developed 3D obstacle perception solutions using large scale benchmark data (both real and synthetic) and improve them iteratively through KPI building and optimization. This includes careful data verification, model architecture design, understanding details of loss function engineering, and being capable of finding detailed ML bugs and iterating toward perfection. - Productize the developed 3D obstacle perception solutions by meeting product requirements for safety, latency, and SW robustness, with a strong emphasis on production deep learning model development. - Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, so that value of data is maximized. What we need to see: - 10+ years of hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch). - Experience in multi-sensor fusion (cameras, ultrasonic sensors, radar) for perception tasks, particularly in high-resolution world reconstruction. - Proven experience in production deep learning model development, including careful data verification, model architecture design, loss function engineering, and debugging ML models. - Experience in data-driven development and collaboration with data and ground truth teams. - Strong programming skills in python and/or C++. - Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other. - BS/MS/PhD in CS, EE, sciences or related fields (or equivalent experience) Ways to stand out from the crowd: - Experience on end-to-end deep learning model development is a plus. - Proven expertise in developing perception solutions for autonomous driving or robotics using deep learning with multi-sensor input. - Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications. - Good understanding of fundamentals of 3D computer vision, camera calibrations including intrinsic and extrinsic, and sensor fusion principles. - Experience with development in CUDA language. The ability to implement CUDA kernels as part of training or inference pipelines. 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 12, 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.

N

Enterprise Product Engineer - Fullstack

Negotiable

NVIDIA's 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 — 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." Are you willing to challenge yourself, and build phenomenal software by working with the smartest people in the world? Join us at the forefront of technological advancement. We’re hiring a Senior Fullstack Engineer to develop the future of developer infrastructure with NVIDIA Brev. You’ll lead the development of dev-focused cloud tooling that unlocks GPU infrastructure across any cloud with one click. This is a high-impact role for someone who thrives on product thinking, enjoys writing polished frontend and robust backend code, and contributes actively to open source communities. What You’ll Be Doing: - Design and build fullstack features with React/Next.js and Go that empower developers to launch cloud GPU environments seamlessly - Shape the developer experience through devtools-style thinking and customer empathy - Own large product surface areas end-to-end — from UI/UX flows to cloud backend APIs - Collaborate cross-functionally with design, product, and marketing to build great UX and landing surfaces - Drive OSS contributions and cultivate community engagement with our open infrastructure libraries - Architect scalable systems using Kubernetes, SQL, and protobuf-based APIs - Define and uphold best practices for code quality, testing, and release processes What We Need to See: - B.S. Degree or equivalent experience - 8+ years of software engineering experience across both frontend and backend domains - Proficiency with React, Next.js, TypeScript, and modern web development practices - Strong backend skills in Golang with experience in Protobuf/gRPC, OpenAPI, and building APIs for distributed systems - Hands-on experience working with Kubernetes, cloud infrastructure (AWS/GCP/Azure), and SQL databases - Proven ability to lead or maintain open-source projects, with a bias for shipping - Strong product intuition and a history of working closely with design or product teams - Experience using AI agents in production to accelerate software development - Empathy for developers and a drive to simplify complex infrastructure into delightful experiences Ways to Stand Out from the crowd: - Prior experience building developer tools, cloud platforms, or CLI/SDKs for technical users - Deep knowledge of container orchestration, system design, and reliability patterns - A track record of OSS leadership or maintainer status on high-visibility projects NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. 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 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 12, 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.

N

Senior Perception Engineer - Autonomous Vehicles

Negotiable

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA’s autonomous driving solutions. As a member of our perception team, you will work on building world-class 3D obstacle perception solutions based on multi-sensor fusion, including cameras, ultrasonic sensors, and radar, to estimate high-resolution reconstruction of the world. The primary approach will be deep learning. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime. What you’ll be doing: - Perception experts with application focus will be on multi-sensor fusion based deep learning model development for obstacle perception/fusion in complex driving environments. - Applied research and development of innovative deep learning and multi-sensor fusion algorithms to improve output accuracy of 3D obstacle perception solutions under challenging and diverse scenarios. - Identify and analyze the strength and weakness of the developed 3D obstacle perception solutions using large scale benchmark data (both real and synthetic) and improve them iteratively through KPI building and optimization. This includes careful data verification, model architecture design, understanding details of loss function engineering, and being capable of finding detailed ML bugs and iterating toward perfection. - Productize the developed 3D obstacle perception solutions by meeting product requirements for safety, latency, and SW robustness, with a strong emphasis on production deep learning model development. - Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, so that value of data is maximized. What we need to see: - 10+ years of hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch). - Experience in multi-sensor fusion (cameras, ultrasonic sensors, radar) for perception tasks, particularly in high-resolution world reconstruction. - Proven experience in production deep learning model development, including careful data verification, model architecture design, loss function engineering, and debugging ML models. - Experience in data-driven development and collaboration with data and ground truth teams. - Strong programming skills in python and/or C++. - Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other. - BS/MS/PhD in CS, EE, sciences or related fields (or equivalent experience) Ways to stand out from the crowd: - Experience on end-to-end deep learning model development is a plus. - Proven expertise in developing perception solutions for autonomous driving or robotics using deep learning with multi-sensor input. - Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications. - Good understanding of fundamentals of 3D computer vision, camera calibrations including intrinsic and extrinsic, and sensor fusion principles. - Experience with development in CUDA language. The ability to implement CUDA kernels as part of training or inference pipelines. 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 12, 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.

N

Senior AI Security Researcher

Negotiable

NVIDIA is looking for a Senior AI Security Researcher to help define how frontier AI systems, agentic applications, and AI-enabled security automation are tested, attacked, defended, and safely deployed. You will build new methods, tools, evaluations, and proofs of concept that help NVIDIA understand and reduce security risk across AI models, AI platforms, autonomous agents, cloud services, developer tooling, and accelerated computing systems! We are looking for a researcher who can move fluidly from open-ended research questions to application within working systems: someone who can discover novel failure modes, build rigorous evaluation harnesses, prototype adversarial and defensive techniques, and turn findings into practical mitigations for engineering teams. The right person may come from AI security, ML security, malware data science, cyber-defense research, adversarial ML, LLM security, offensive security, threat hunting, or applied security research at scale! What You'll Be Doing: - Develop and answer open-ended AI security research questions that helps NVIDIA understand, measure, and reduce risk in frontier models, agentic systems, AI platforms, and AI-enabled products. - Develop practical methods, prototypes, evaluations, or tools that reveal how AI systems can fail under adversarial conditions and how those risks can be mitigated. - Explore a range of AI security problems, such as LLM and agent security, adversarial testing, model evaluation, cyber-defense automation, vulnerability discovery, secure deployment, or autonomous response. - Translate research into usable outcomes for engineering and security teams, including proof-of-concept demonstrations, benchmarks, technical guidance, mitigations, and secure-by-design recommendations. - Collaborate across offensive security, product security, AI research, platform, cloud, and infrastructure teams to connect research insights with NVIDIA's highest-impact security priorities. - Help shape NVIDIA's AI-security research strategy by mentoring others, identifying emerging risks, and building repeatable practices for evaluating and defending AI systems. What We Need to See: - 12+ years of experience in AI security, cybersecurity research, applied ML research, offensive security, cyber defense, or related technical fields. - Demonstrated record of original research and practical impact, such as deployed security ML systems, AI-security evaluations, CVEs, patents, publications, conference talks, open-source tools, production mitigations, or funded research programs. - Hands-on ability to build working research systems in Python and modern ML/data tooling such as PyTorch, JAX, TensorFlow, scikit-learn, Pandas, NumPy, Spark, BigQuery, or comparable platforms. - Experience with one or more AI-security areas: LLM security, adversarial ML, model evaluation, agent security, prompt injection, model backdoors, data poisoning, model abuse, secure RAG, synthetic data, or AI-enabled security automation. - Strong cybersecurity foundation, including threat modeling, adversary simulation, exploit or vulnerability research, malware analysis, network defense, threat hunting, detection engineering, digital forensics, secure code review, or incident-response automation. - Ability to work across ambiguous research problems and practical product constraints, translating findings into prioritized recommendations and measurable security outcomes. - Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Cybersecurity or a related field. - Experience leading AI-security research for major models, AI platforms, security products, or large-scale production systems. - A track record of building security ML systems that operate at real-world scale, Ways to Stand Out from the Crowd: - Published work or public technical leadership in AI security, malware data science, adversarial ML, LLM security, cyber-defense automation, or offensive AI. - Experience developing benchmarks, challenge datasets, red-team tools, evaluation suites, or simulation environments for AI and security systems. - Deep knowledge of attacker tradecraft, including living-off-the-land techniques, supply-chain abuse, application-layer AI attacks, data exfiltration, and abuse of autonomous tooling. - Experience with low-level systems security. - History of mentoring researchers, winning or leading research programs, filing patents, publishing papers, or speaking at major security and AI venues. In this role, your research will help NVIDIA build AI systems that are not only powerful, but trustworthy, resilient, and secure. You will work with world-class researchers, engineers, and security teams on problems that matter to NVIDIA's products, customers, and the broader AI ecosystem. 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 12, 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.

N

HPC Middleware Developer

Negotiable

We are now looking for a senior HPC software engineer. As a member of our the High Performance Computing Software development team, you will be responsible for designing and implementing new protocols and algorithms that enable the best performance possible on Nvidia networked supercomputers and datacenters. This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with technical leaders solving some of the biggest challenges in machine learning, cloud computing, and system co-design. What you'll be doing: The team is responsible for developing high performance communication frameworks and applications running in production on the world’s largest supercomputers and datacenters. The work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features. Our team works closely with networking chip design teams in co-designing new hardware features and software APIs. What we need to see: - 5 years’ experience of Programming in C/C++ - 3 years’ experience in Linux environment and tools - Deep knowledge of Networking Protocols InfiniBand, Ethernet - Deep knowledge in computer architecture and operating systems - Experience in performance optimizations - MSc or equivalent experience in computer science / software engineering. Ways to stand out from the crowd: - You have positive attitude and work well with others. - PhD or equivalent experience in CS/EE/Math/Physics - Knowledge in MPI and High-performance computing - Knowledge in RDMA technology - Open Source Software Contributor 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 is widely considered to be one of the technology world's most desirable companies to work for. Are you creative and driven? Do you love a challenge? If so, 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 12, 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.

N

Senior Software Engineer, AI Networking

Negotiable

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 seeking an outstanding Software Engineer to join our US-based networking software team. As a technical leader, you will lead the transformation of AI networking systems. You will apply your deep expertise to manage complex customer engagements and help develop our product and architecture direction. This role offers an outstanding opportunity to influence NVIDIA's networking technologies and make a significant impact on the industry. What you’ll be doing: - Establish yourself as a technical specialist in AI networking products, specifically the BlueField DPU and ConnectX product lines. Architect, design, and develop innovative, scalable, and high-performance hardware-accelerated software solutions. - Lead deep technical engagements with hyperscalers, involving design-in, coding, bring-up, performance tuning, failure analysis, and production hardening. - Partner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines. - Drive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items. What we need to see: - A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or a related science degree (or equivalent experience) - 8+ years of relevant industry experience, including technical leadership across complex systems. - Deep knowledge of networking protocols and distributed systems, with a strong understanding of RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs. - Proven low-level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, OS, and application. - Demonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management. - Excellent interpersonal skills, with the ability to clearly explain complex topics to engineers, PMs, and customer collaborators, and align cross-organizational teams toward a decision. - Result driven and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements Ways to stand out from the crowd: - Prior experience in customer-facing technical leadership at hyperscalers/CSPs. - Hands-on expertise with RDMA verbs, DPDK, DOCA, NCCL, CUDA-aware networking, congestion control, and performance tuning at scale. - Experience building internal tools, telemetry, and automation that improve triage speed and operational excellence. - Experience leading multi-team initiatives across geo/time zones, with clear examples of influence without authority as well as eager and proactive in bringing to bear AI-powered tools to accelerate debugging, documentation, and day-to-day engineering efficiency while maintaining strong engineering judgment. 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 12, 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.

N

Developer Relations Manager, Metropolis - Physical...

Negotiable

Are you a rare blend of technical expertise and relationship-building talent? Do you thrive on innovation and want to shape the future of Physical AI? If you’re a proactive self-starter who excels in fast-paced environments and delivers top results, we want to hear from you! As a Developer Relations Manager for NVIDIA Metropolis, you will play a pivotal role in accelerating the adoption of AI-powered systems that sense, reason, and act. You’ll empower developers and cultivate partnerships across a landscape of intelligent environments. Your efforts will directly support NVIDIA’s vision for smarter, safer, and more efficient cities, manufacturing, and warehouses—leveraging video analytics and automation. Whether enabling robotics or any AI-infused infrastructure, you’ll help bring intelligence to the physical systems that are redefining our world. What You’ll be doing: - Build and nurture relationships with ISVs (50+) and partners in industries where AI is redefining operations - Engage and support developers, partners, and industry leaders to foster innovation and adoption of AI-powered solutions - Provide technical guidance to help developers integrate NVIDIA’s latest AI technologies for real-time applications - Collaborate with engineering, product, and marketing teams to drive developer engagement and ecosystem growth - Accelerate early adoption of new products and support launches and go-to-market strategies What We need to see: - 10 years experience in same technical areas - Bachelor’s degree or in computer science, engineering, or a related field (or equivalent experience) - Proven success in developer relations, technical evangelism, or a similar technology role - Strong technical background in AI - training, simulation, inferencing, intelligent video analytics, VLM models - Excellent communication and relationship-building skills across organization - Demonstrated leadership in driving partners and achieving bold goals Ways To Stand Out From The Crowd: - Hands-on experience with AI for physical systems, such as robotics, autonomous vehicles, or intelligent devices, or with NVIDIA platforms (Metropolis, Cosmos, Omniverse, Isaac, CUDA-X) - Experience in industrial automation, intelligent spaces, or AI-enabled physical environments With highly competitive salaries and a comprehensive benefits package, 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, and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous professional with a genuine passion 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 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 12, 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.

N

Deep Learning Kernel Software Performance Architec...

Negotiable

NVIDIA is seeking Software Performance Architects to optimize GPU kernel performance for state-of-the-art data-center platforms. We build automated, data-driven workflows to detect, explain, and prevent performance regressions across key deep learning workloads, partnering closely with kernel developers, compiler teams, infrastructure, and architecture/performance groups. What you'll be doing: - Performance analysis, optimization and debugging - Build performance narratives using structured methodology: baselines, projections, controlled comparisons, and regression attribution. - With the methodologies, analyze performance of GPU-accelerated kernels and key deep learning building blocks, identify gaps with baselines or projections, then optimize the kernels' performance to fill the gaps. - Debug performance issues end-to-end: reproduce, isolate root causes, propose fixes or mitigation paths, and drive closure with the owning teams. -  Automation + regression infrastructure (Python-heavy) - Develop and maintain Python-based automation for performance testing and analysis—using modern AI-assisted developer tools (e.g., Cursor/Claude Code/Copilot) to accelerate scripting while keeping code maintainable and reviewable. - Design and operate performance test workflows: coverage definition, test/workload generation, automated large-scale execution (CI/nightly/on-demand), rerun rules, and reproducibility standards. -  Cross-team collaboration and operating model - Work with kernel developers and the compiler teams to ensure performance checks are practical, scalable, and aligned to release needs. - Work with chip architecture and modeling teams to solidify the performance methodology across chip architecture generations and common Deep Learning operators such as GEMM, Attention, MoE. - Partner with SWQA and infrastructure teams for execution at scale and reliable pipelines/dashboards. - Following general software engineering best practices including support for regression testing and CI/CD flows What we need to see: - Masters or PhD degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or related field - Strong programming ability in Python plus C/C++ with 2+ working experience (performance-oriented code reading/debugging) - Solid fundamentals in computer architecture, parallel programming and performance reasoning (latency/throughput, memory hierarchy, parallelism) to be able to identify bottlenecks, optimize resource utilization, and improve throughput - Experience with performance analysis workflows: profiling, measurement methodology, reproducibility, and regression triage. - Comfortable working across teams and driving issues to decision/closure with clear communication Ways to stand out from the crowd: - Experience with high-performance kernels or math libraries (e.g., GEMM/attention, CUTLASS-like concepts) - GPU programming/perf experience (CUDA or equivalent parallel programming) - Strong ML/DL workload understanding (training/inference shapes, precision modes, perf bottlenecks) - Familiarity with simulators/analytical modeling or performance characterization methodology

N

Senior DFT Engineer

Negotiable

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 tackle, and that matter to the world. This is our life’s work , to amplify human imagination and intelligence.  Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: - As a member in our team, you will own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, IO BIST, memory BIST and scan compression. - In addition, you will help develop and deploy DFT methodologies for our next generation products. - You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: - BSEE (or equivalent experience) with 5+, MSEE with 3+ years of experience or PhD in DFT or related domains - Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG and fault simulation - Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate designs using vendor tools - Good exposure to cross functional areas including RTL & clocks design, STA, place-n-route and power, to ensure we are making the right trade-offs - Experience in Silicon debug and bring-up on the ATE with an understanding of pattern formats, failure processing, and test program development - Strong programming and scripting skills in Perl, Python or Tcl desired - Extraordinary written and oral communication skills with the curiosity to work on rare challenges Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas.   At its core, our visual computing technology not only enables an outstanding computing experience, but it is also energy efficient!   We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, 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 12, 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.

N

Senior Field Application Engineer - AI Compute Sys...

Negotiable

We are now looking for a Field Applications Engineer! NVIDIA’s AI platforms have already made a major impact on the field and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest enterprise companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that artificial intelligence is a new computing revolution and has the potential to transform the industry. NVIDIA is seeking an outstanding FAE with a focus on datacenter system and network design for AI computing. Your primary responsibilities will be onsite technical engagement for large datacenter deployments of NVIDIA AI computing systems. Your role will involve working across functions within our organizations while also ensuring a positive experience for external customers. You must be a U.S. Citizen to apply for this position. What you’ll be doing: - Provide onsite support for large datacenter deployments of NVIDIA AI solutions. - Solving complex hardware and deployment issues - Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions. - Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts. - Identify customer architectures and key product requirements in the enterprise AI market. - Provide technical and sales training to the direct sales team and channel partners. - Establish positive relationships and communication channels with internal teams. - Up to 30% travel may be required. What we need to see: - BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). - 5+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role. - In-depth knowledge of servers, storage systems, network devices, and other data center hardware - Capable of working in a constantly evolving environment without losing focus. - Ability to multitask optimally in a multifaceted environment. - Expert analytical and problem-solving skills. - Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very sophisticated projects. Ways to stand out from the crowd: - Experience with large-scale rollouts of datacenter equipment. - Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc. - Embedded Linux System, APIs, and similar embedded OS knowledge. - Experience working with OEMs in the industrial, military, and ruggedized computing space. - Knowledge of HVAC and cooling systems for thermal management, power distribution, cabling, and rack layout as well as CPU Architecture knowledge Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 12, 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.

N

Product Evaluations Lead - Gen AI Software

Negotiable

NVIDIA is seeking a highly analytical Product Evaluations Lead to own the evaluation, measurement, and go-forward analysis of our Generative AI Software including the Nemotron family as they are adopted by our most strategic enterprise ISV partners. As the evaluation's driver for our most strategic partners and products, you will help drive the experiments, benchmarks, and translate results into crisp insights and prioritized next steps that guide Product, Research, and leadership. This role operates at the intersection of rigorous data science, GenAI product strategy, and executive communication, staying ahead of the rapidly advancing reasoning and agentic AI landscape. You will directly influence model release criteria, product direction, and the roadmap for how NVIDIA's GenAI software is measured and improved! What You Will Be Doing: - Drive end-to-end evaluation and analysis of NVIDIA's GenAI libraries, primarily Nemotron models for a focused set of strategic ISV partners, translating complex model behavior into clear go/no-go recommendations and prioritized next steps. - Develop and own rigorous evaluation frameworks, partner experimentation, and benchmarks that measure model quality, reasoning, and agentic capabilities against partner requirements and real-world enterprise use cases. - Share learnings and impact. Deliver regular readouts, dashboards, and progress tracking on evaluation results, adoption status, and recommended next steps to Product, Engineering, Research, and leadership stakeholders, consistent with NVIDIA's culture. - Provide analytical judgment under high uncertainty, balancing model quality, risk, and impact from incomplete or noisy signals to inform high-stakes release and integration decisions. - Partner with research scientists and product teams to translate emerging model capabilities into measurable release criteria, and identify the data and signals that feed the model-improvement flywheel. - Represent partner and product evaluation needs to internal teams. Contribute to the product roadmap by synthesizing cross-partner and cross-industry patterns captured from strategic engagements. What we need to see: - 12+ years of experience in data science, model evaluation, experimentation, or analytics roles, with a focus on measuring AI/ML or GenAI systems. - Master's or PhD in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics) or equivalent experience. - Proven track record leading model evaluation and experimentation that directly informed high-stakes, go/no-go product or model-release decisions. - Strong hands-on skills in Python and statistical/experimental methods, including A/B testing, causal measurement (e.g., org-level holdouts), and metric design and failure analysis. - Direct experience evaluating and benchmarking LLMs or GenAI systems including reasoning, agentic, and/or multimodal capabilities, and building high-quality evaluation datasets and human-evaluation strategies. - Ability to translate complex, ambiguous model behavior into clear narratives, reporting, and recommendations for research, product, and executive audiences. - Proven ownership operating cross-functionally across research, engineering, product, and leadership to drive alignment and decisions in a high-velocity environment. Ways to Stand Out from the Crowd: - Founding or early-team experience standing up a GenAI evaluation or analytics function defining north-star metrics and rapid-experimentation frameworks that accelerated and de-risked release decisions. - Track record of influencing complex model and product decisions through positive relationships, showing empathy for partner needs and an instinct for translating them into measurable improvements. - Hands-on experience with reward models, data flywheels, or evaluation signals that directly improved model performance. - Published or applied work in LLM capability evaluation or benchmarking (e.g., peer-reviewed research), paired with agility in a high-velocity GenAI landscape. - Highly collaborative standout colleague, able to build deep trust with engineers, researchers, executives, and multi-functional teams at both NVIDIA and partner organizations. We're entering a defining chapter in NVIDIA's history! This role offers an outstanding opportunity to build how our Enterprise Generative AI Software is measured, trusted, and adopted by the world's leading partners. You'll have the support of Engineering, NVIDIA Research, Solutions Architects, and Product teams, and your analysis will directly influence which models ship and how our Enterprise AI business grows. This is an unparalleled opportunity for professional growth and impact in a high visibility team that’s at the forefront of innovation. NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you! NVIDIA benefits is available online at Benefits and Support Programs | NVIDIA Benefits 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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 12, 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.

N

Senior Software Engineer – TensorRT Edge-LLM

Negotiable

Are you passionate about pushing the limits of real-time large language model inference? Join NVIDIA’s TensorRT Edge-LLM team and help shape the next generation of edge AI for automotive and robotics. We build the software stack that enables Large Language, Vision-Language, and Multimodal (LLM/VLM/VLA) models to run efficiently on embedded and edge platforms — delivering cutting-edge generative AI experiences directly on-device. What you’ll be doing: - Develop and evolve a state-of-the-art inference framework in modern C++ that extends TensorRT with autoregressive model serving capabilities, including speculative decoding, LoRA, MoE, and KV cache management. - Design and implement compiler and runtime optimizations tailored for transformer-based models running on constrained, real-time platforms. - Collaborate with teams across CUDA, kernel libraries, compilers, and robotics to deliver high-performance, production-ready solutions. - Contribute to CUDA kernel and operator development for critical transformer components such as attention, GEMM, and MoE. - Benchmark, profile, and optimize inference performance across diverse embedded and automotive environments. - Stay ahead of the rapidly evolving LLM/VLM ecosystem and bring emerging techniques into product-grade software. What we need to see: - BS, MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a closely related field. - 4+ years of relevant software development experience. - Deep understanding of transformer models and inference optimization techniques (e.g., quantization, tensor parallelism, or memory-efficient scheduling). - Proficient programming ability with modern C++ (C++11/14/17 and beyond). - Familiarity with popular LLM frameworks and libraries such as TensorRT, TensorRT-LLM, vLLM, SGLang, MLC-LLM, or FlashInfer. - A track record of strong software design, execution, and collaboration across fields. Ways to stand out from the crowd: - Demonstrated development experience or open-source contributions to LLM inference frameworks and libraries, such as SGLang, vLLM, or FlashInfer. - Proficiency with CUDA, including efficient kernel development, performance profiling, and GPU architecture fundamentals. - Prior work on autoregressive LLM serving systems, including speculative decoding or KV cache management. - Familiarity with compiler infrastructure for large language model inference. - Exposure to robotics or embedded AI pipelines, including optimizing for low-latency, resource-constrained systems. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We hire some of the most brilliant and forward-thinking people in the world. If you thrive on innovation, autonomy, and technical excellence, come join us to shape the future of edge AI. 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 - 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 12, 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.

N

Senior Software Engineer, Metropolis Vision AI

Negotiable

NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, co-pilots, and more. Join us at the forefront of technological advancement in intelligent assistants and information retrieval. Metropolis is transforming how the physical world is perceived and understood using advanced computer vision and deep learning. Our team builds large-scale distributed Vision AI platforms that power intelligent spaces, smart cities, retail analytics, and digital twins. This role offers the opportunity to own core components of a strategic platform with high visibility and real-world impact. As a System Software Engineer for Vision AI, you will develop and optimize high-performance vision systems that turn massive streams of video, image, and 3D data into actionable insights. You will collaborate with specialists in perception, simulation, and large models to bring research into production at scale. What you’ll be doing: Crafting and implementing high-performance Vision AI pipelines for real-time and streaming scenarios using brand-new computer vision and deep learning models. Developing and refining large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings. Developing multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes. Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale. Profiling and tuning GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets. Collaborating with partner teams across product, research, and platform to translate requirements into clear technical builds and robust implementations. Driving technical build reviews, promoting guidelines for code quality and testing, and mentoring other engineers on Vision AI systems development. What we need to see: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or a related field, or equivalent experience. 12+ years of professional software development experience using modern C++ (14/17/20) and Python on Linux. Strong computer science fundamentals, including algorithms, data structures, concurrency, and distributed systems concepts. Demonstrated expertise in computer vision and deep learning, with a history of deploying production systems in these fields with a focus on Vision-Language Model (VLM). Experience building and debugging high-performance, concurrent systems, including multi-threading, asynchronous I/O, and efficient memory management. Proficiency working in Linux-based environments with containers and microservices, integrating AI components into scalable back-end services. Ability to rapidly prototype vision models and pipelines, then evolve them into production-quality services. Practical experience with PyTorch in training, fine-tuning, and deploying models for vision tasks. Strong analytical and problem-solving skills, with a data-driven approach to performance optimization and system build. Excellent written and verbal communication skills, with demonstrated success collaborating across time zones and functions. Ways to stand out from the crowd: Proven experience delivering end-to-end computer vision applications in production, such as video analytics, smart cities, autonomous systems, retail analytics, industrial inspection, or digital twins. Practical experience with GPU acceleration (such as CUDA, TensorRT, or comparable technologies) and low-level optimization for inference and pre/post-processing. Experience in simulation and synthetic data creation employing tools such as Omniverse, Unreal Engine, Unity, or similar digital-twin platforms. Background in vision-language models or related multi-modal AI, including integrating these models into real products. Background in multimedia, including video-centric processing and delivery (such as codecs, video pipelines, or media frameworks) and integrating vision models into multimedia workflows. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 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.

N

Senior ASIC Engineer, Power Integrity

Negotiable

NVIDIA has been at the forefront of technological innovation for over two decades. Our journey began with the invention of the GPU in 1999, which revolutionized the PC gaming market, redefined modern computer graphics, and transformed parallel computing. More recently, our advancements in GPU deep learning have ignited the era of modern AI, positioning NVIDIA as a leader in this next wave of computing. We are now looking for a motivated Senior Engineer with expertise in Power Integrity, Modeling and Simulation to join our dynamic and growing Circuits Solutions Group. If you are looking for a significant and exciting role in improving the netlist and timing quality of our designs and if you are a strong self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today! What you’ll be doing: - Participate in innovative Processor design in deep submicron technologies. - Work as part of a global circuits team to design innovative power delivery and power management solutions. - Build models of analog and digital circuits and systems in a variety of environments with different degrees of abstraction and complexity. - Perform detailed block-level and system-level simulations to ensure good reliability, performance, and stability of the designs. - Be a mentor/technical lead for junior team members. What we need to see: - BSEE (or equivalent experience)/MS or PhD degree in Electrical or Computer Engineering with 5+ years of experience. - Experience with industry-standard EDA (Cadence Virtuoso, Allegro) and simulation tools (VCS, HSpice, Spectre, Primesim, etc.). - Experience modeling and simulating digital and analog circuits and systems. - Experience/familiarity with Analog and Mixed Signal (AMS) simulations, as well as standard languages like Verilog and VerilogA. Ways to stand out from the crowd: - Hands-on experience modeling and simulating complex power delivery networks (PDN) from die level all the way to platform level. - Familiarity with other industry-standard tools such as Ansys Siwave, HFSS, Sigrity, Matlab/Simulink, Simplis, etc. - Understanding of control loops and feedback systems is a plus. - Proficiency in scripting language, such as, Perl, Tcl, Python, Skill, and automation methods/algorithms is a plus. We are dedicated to solving some of the world's most complex problems, from healthcare to robotics, self-driving cars to blockbuster movies, and beyond. Our work in AI and digital twins is transforming industries and profoundly impacting society. We thrive on seamless collaboration, shared success, and a commitment to diversity and individuality. Everyone at NVIDIA contributes, and everyone belongs. Join us at NVIDIA, where you will be part of an eclectic, passionate group of professionals dedicated to making a lasting impact on the world. Together, we will continue to push the frontiers of technology and create a better tomorrow.

N

System Software Engineer, AI Data Platform

Negotiable

Our team is building the foundational infrastructure that powers NVIDIA’s cutting-edge innovations in AI and high-performance computing. We are looking for a System Software Engineer to help design, build, and improve scalable and reliable automation systems that support the development, validation, and deployment of our core software across cloud and on-premises environments. This role offers the opportunity to work on large-scale systems that ensure the performance, reliability, and efficiency of AI and compute workloads used globally—from data centers to specialized hardware platforms. What You’ll Be Doing: - Develop and maintain infrastructure and tools that automate software build, test, and deployment workflows. - Build and improve performance measurement and benchmarking systems for large-scale software and hardware platforms. - Collaborate with engineering teams to understand requirements and deliver reliable, scalable solutions. - Analyze system performance and logs to identify issues and contribute to continuous improvements. - Participate in design discussions and help improve platform automation and engineering efficiency. What We Need To See: - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent experience. - At least 2+ years of software engineering experience in infrastructure, backend systems, distributed systems, or automation. - Strong programming skills in at least one of: C++, Python, Go, or similar languages. - Experience working with software systems, automation frameworks, or CI/CD pipelines. - Strong problem-solving and debugging skills. - Good communication skills and ability to work effectively in a team. Ways To Stand Out From The Crowd: - Exposure to AI/ML systems or data-intensive workloads. - Experience with cloud or on-prem infrastructure environments. - Familiarity with container technologies such as Docker and Kubernetes. - Experience with performance analysis or profiling tools. - Interest in building scalable systems and improving engineering efficiency. 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 NVIDIA is committed to fostering a diverse 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.

N

Senior Silicon Photonics Design Engineer

Negotiable

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 tackle, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. Make the choice and join us today! Optical interconnect is becoming the backbone of AI-scale computing, and co-packaged optics is one of the hardest, highest-impact problems in that shift. We're looking for a senior engineer to join the team that owns silicon photonics design and modeling for our optical roadmap. This role lives at the electronic-photonic boundary — building the models and co-simulation flows that let photonic and high-speed electronic designs be verified together. You'll work shoulder-to-shoulder with circuit, system, and characterization engineers, and share in the team's collective ownership of a foundational capability. What you'll be doing: - Develop and maintain the electro-optic co-simulation flow, integrating Verilog-A compact models with circuit and link simulation so photonics and electronics can be verified in one environment. - Define silicon-photonics test structures and characterization plans, and extracting compact-model parameters from measured optical, electrical, electro-optic, RF, and thermal data. - Build and calibrate compact/behavioral models for silicon photonic components — ring modulators and resonators, Mach-Zehnder modulators, photodetectors, grating/edge couplers, waveguides, splitters, and thermo-optic phase shifters. - Correlate models against foundry and in-house characterization data (spectra, S-parameters, OMA/ER), contributing to the model accuracy and validation the team is collectively responsible for. - Partner closely with circuit/SerDes designers, system teams, and foundry contacts as the direct customers of the team's models. - Contribute to the shared component library the team maintains — versioning, documentation, QA, and release — taking detailed physics/EM models as source data and abstracting them into design-usable form. What we need to see: - MS and/or PhD in Electrical Engineering, Applied Physics, Photonics/Optical Engineering, or related field (or equivalent experience). - Electronic-photonic co-simulation and Verilog-A compact modeling, integrating photonic models into a circuit design environment (Cadence ecosystem a plus). - 5+ years of design experience in industry or applied R&D, spanning photonic and/or high-speed electronic design. - Proven track record in silicon photonics device modeling, compact modeling, or optical component design. - Photonic simulation tools: Lumerical (FDTD, MODE, INTERCONNECT, CHARGE) or comparable (Ansys, Synopsys OptoDesigner/RSoft). - Solid grasp of photonic device physics: resonator theory (CMT, Q, FSR, ER/OMA), carrier-based and thermo-optic modulation, waveguide loss and dispersion. - Experience building verification/testbench environments and correlating models to measurement. - Strong debugging and analytical skills, and a genuine desire to work as part of a close-knit team. Ways to stand out from the crowd: -  Foundry PDK flow experience, photonic layout/DRC awareness, optical VNA/LCA measurement background. 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.

N

Director, Product Management – AI Networking Spect...

Negotiable

NVIDIA’s Datacenter Ethernet Business is growing rapidly. We are seeking a Director-level Product Manager with deep technical expertise in networking hardware, silicon, and platform architecture to lead global product strategy for next-generation Ethernet networking solutions. This senior leadership role offers broad cross-functional collaboration, executive visibility, and global responsibility for shaping NVIDIA’s intelligent networking portfolio. As a product management leader, you will define the long-term strategy and drive the lifecycle of advanced networking hardware and silicon platforms, working closely with architecture, ASIC, systems, software, and go-to-market teams worldwide. Positioned at the intersection of AI infrastructure, high-performance networking, and cloud-scale datacenter innovation, you will influence the direction of NVIDIA’s next-generation networking technologies and help shape the future of accelerated computing. What You’ll Be Doing: - Lead the strategic direction and product vision for NVIDIA’s Ethernet networking hardware and silicon platforms, driving product planning, execution, lifecycle management, and technology transitions. - Define product requirements and roadmaps for next-generation networking ASICs, systems, and platforms in collaboration with engineering, architecture, and key ecosystem partners. - Drive cross-functional execution across hardware, silicon, firmware, software, operations, and business teams to deliver industry-leading networking solutions for AI and cloud datacenters. - Partner with strategic customers and hyperscalers to understand emerging requirements and translate them into differentiated networking products. - Represent the product strategy with executive leadership, customers, and industry partners, influencing the evolution of NVIDIA’s datacenter networking portfolio. What We Need to See: - BS/MS in Engineering or equivalent experience. - 15+ years of overall experience with 8+ years in software or infrastructure roles within the networking industry, with deep technical proficiency. - Deep knowledge of Ethernet switch and router hardware, including switching/routing ASICs, packet-processing pipelines, and the underlying silicon that powers modern data center networks. - Solid grounding in data center hardware, rack-level build, and physical infrastructure is required. This includes server, networking, power, cooling, and cabling considerations that develop how AI and cloud fabrics are deployed at scale. - Experience leading product strategy development and delivery in complex global organizations as a senior IC (director-level scope) or people leader. - A strong blend of systems-level technical depth, business insight, and critical thinking. - Demonstrates outstanding communication and confidence when sharing ideas at the executive level. Influences global teams without authority. Manages competing priorities effectively in a rapidly changing environment. Ways to Stand Out From the Crowd: - Background in modern data center networking, including telemetry, analytics, and automation powered by artificial intelligence. - Hands-on exposure to switch silicon, NPUs/DPUs, or merchant ASIC platforms and the software that orchestrates them. - Experience with deep learning, data science, and GPU-accelerated environments. - Demonstrated success launching and scaling highly technical infrastructure products globally. - Passion for technology, innovation, and solving complex networking challenges. At NVIDIA, we are at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and an inclusive work environment. If you consider yourself to be a leader in this space then this is a role for 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 272,000 USD - 425,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 13, 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.

N

Senior AI Infrastructure Engineer - DGX Cloud

Negotiable

NVIDIA is looking for an outstanding, passionate, and dedicated Senior AI Infrastructure Engineer to join our DGX Cloud group. This engineering role will design, build and maintain large-scale production systems with high efficiency and availability using a combination of software and systems engineering practices. This role demands knowledge across different systems, networking, coding, databases, capacity management, continuous delivery and deployment, and open-source cloud-enabling technologies like Kubernetes and OpenStack. The DGX Cloud Production Engineer at NVIDIA ensures our GPU cloud services deliver maximum reliability and uptime. They carefully prepare and plan changes to the system. They also manage capacity and performance. NVIDIA values diversity, curiosity, problem-solving, and openness. Our team includes people with varied backgrounds and perspectives. We encourage collaboration, big thinking, and risk-taking without blame. We promote self-direction on meaningful projects. We also provide support and mentorship to foster learning and growth. What You’ll Be Doing: - Design, build, deploy, and run internal tooling for large-scale AI training and inferencing platform built on top of cloud infrastructure. - Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. - Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement. - Support services before they become available through activities such as system design consulting, developing software tools, platforms, and frameworks, capacity management, and launch reviews. - Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. - Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity. - Practice sustainable incident response and blameless postmortems. - Be part of an on-call rotation to support production systems. What We Need To See: - BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience. - 5+ years of experience. - A track record showing a good balance between initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others. - Background in infrastructure automation and distributed systems architecture focused on building tools to manage large-scale private or public cloud platforms in production. - Experience working with one or more of the following languages: Python, Go, C/C++, Java. - Comprehensive understanding in one or more of Linux, Networking, Storage, and Containers Technologies. - Experience with Public Cloud and Infrastructure as a Code (IAAC) and Terraform. - Distributed system experience. Ways to Stand Out from the Crowd: - Interest in crafting, analyzing, and fixing large-scale distributed systems. - Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. - Capability to identify issues and improve code performance while automating routine tasks. Experience in operating or handling large private and public cloud systems based on Kubernetes or Slurm. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. If you're creative and self-motivated, 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. 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 13, 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.

N

Senior Research Scientist, Human‑AI Perception and...

Negotiable

We are now looking for a Senior Research Scientist for Human‑AI Perception & Interaction! 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, the Human Performance and Experience (HPX) team at NVIDIA Research, strive to lead AI innovation by deeply understanding humans. We are looking for individuals who are passionate about advancing AI in gaming, robotics, and more by employing human intelligence and human interaction to shape perception, learning, and behavior. We bridge vision science, HCI, and HRI to create systems that perceive, learn, and collaborate with people safely and effectively. You will be working in a team of research scientists and engineers from varied backgrounds and will closely collaborate with product engineers. Join us in redefining the future of AI and human interaction! What you'll be doing: - Propose, research, prototype and test innovative research ideas. - Publish at top conferences and patent novel inventions. - Collaborate with other research team members, external researchers, and mentor interns. - Create working interactive demonstrations to showcase your research ideas. - Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product. What we need to see: - Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field. - 3+ years of relevant work experience - Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.). - Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc. - Proficiency with Python, Rust, and/or C++. - Experience with AI model training and evaluation frameworks, like PyTorch. Ways to stand out from the crowd: - Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code). - Experience with multi-node, multi-GPU training and inference workflows. - Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs). - A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 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 13, 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.

N

Senior Structural Test Engineer

Negotiable

NVIDIA, the AI computing company, has transformed computer graphics, parallel computing, and deep learning with the invention of the GPU in 1999. As we continue to grow, we are seeking top talent to help drive further innovation. We are currently hiring a Senior Structural Test Engineer to join our Test Team. In this role, you will build next-generation boards and systems while collaborating with cross-functional teams and suppliers to deliver functional test hardware solutions. The ideal candidate will define and drive the structural test plan for baseboards and systems, review design concepts, and establish validation strategies. You will develop and automate test infrastructure configurations, ensuring coverage of key product features while optimizing cost, quality, and manufacturability. You will also lead the implementation of structural test plans to detect SMT, PCB, and component issues as early as possible. This role offers the opportunity to make a meaningful impact across diverse product lines, from consumer graphics to autonomous vehicles and AI technologies. What you will be doing: - Define ICT capability, hardware design requirements, and board debug capabilities, enabling structural testing at Texas CM sites. - Optimize structural test plans to identify SMT, PCB, and component issues early. - Collaborate with board designers, layout engineers, tester vendors, and fixture providers, offering DFM guidance to meet ICT requirements. - Support production bring-up and debugging, including offshore tester platform bring-up involving ICT, BSI, FCT universal testers, and more. - Coordinate test fixtures and platform automation with suppliers, contract manufacturers, and global teams. - Develop procedures, documentation, and provide technical support as needed. What you need to see: - Master’s degree (or equivalent experience) in Electrical, Mechanical, Materials, or related fields. - At least 5 years of experience in ICT programming, fixture design/manufacturing, and factory testing. - Strong understanding of ICT development, hardware design, board debugging, and structural testing. - Solid knowledge of board manufacturing processes, PCB/fixture design, and proven program management capability. - Excellent communication, analytical, problem-solving, and decision-making skills. - Strong team collaboration and analytical abilities with effective work habits. - Self-starter able to complete tasks with minimal supervision. We offer competitive salaries and a comprehensive benefits package, and are widely recognized as one of the most desirable employers in the technology industry. With rapid growth, our teams continue to expand. We are looking for creative, self-driven individuals with a passion for technology to join us and help shape the future of computing. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 13, 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.

N

Speech LLM Engineer, Voice-First Agentic AI

Negotiable

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. At NVIDIA, we advance innovation and help customers build the next generation of Sovereign AI platforms. Our Speech team seeks a Senior Speech LLM Engineer. This role involves developing spoken language and multimodal AI systems that power secure, scalable, and sovereign voice-first AI solutions. It supports enterprises, governments, and regional ecosystems in deploying and operating AI systems. These systems maintain control over data, models, infrastructure, and regulatory requirements. What you'll be doing: - Develop and advance speech, audio, and multimodal LLMs that power next-generation voice-first agentic AI experiences. - Leverage AI-native and agentic workflows to accelerate research, development, evaluation, and deployment of AI systems. - Design and deploy AI models and platforms with strong consideration for AI safety, security, privacy, and Sovereign AI requirements. - Establish and drive benchmarking frameworks for voice agents, including speech quality, reasoning, tool use, latency, reliability, and user experience. - Lead technical initiatives, mentor engineers, and foster a One Team culture through close collaboration across research, engineering, product, and customer teams. What we need to see: - Master's degree in Computer Science, AI, Electrical Engineering, or related field (or equivalent experience). - 2+ years of experience building and deploying speech, multimodal AI, or LLM systems. - Strong Python skills and experience with PyTorch or TensorFlow. - Hands-on experience with ASR, TTS, speech understanding, audio-language models, or multimodal LLMs. - Experience building production ML pipelines and MLOps infrastructure. - Proven technical leadership and mentoring experience. - Strong problem-solving, communication, and teamwork skills. Ways to stand out from the crowd: - Hands-on experience with NVIDIA AI technologies such as NeMo, NeMo Agent Toolkit, Nemotron, Riva, NIM, and Voice Chat. - Experience building voice-first agentic AI systems with reasoning, tool use, and multimodal capabilities. - Strong expertise in speech AI, including ASR, TTS, speech-to-speech, and conversational AI. - Experience benchmarking AI agents for quality, latency, reliability, safety, and user experience. - Familiarity with Sovereign AI, enterprise AI deployment, and data governance requirements. 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/

N

Deep Learning Compiler Engineer - CUDA

Negotiable

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 now looking for cuTile Core Compiler Architect in our group! The NVIDIA Architecture group is looking for world class architects and engineers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful. What you'll be doing: - Design and implement the DSL and the core compiler of tile-aware GPU programming model for emerging GPU architectures - Continuously innovate and iterate on the core architecture of the compiler to consistently optimize performance - Investigation of next-generation GPU architectures and provide solutions in the DSL and compiler stack - Performance analysis on emerging AI/LLM workloads and integrate with AI/ML frameworks What we need to see: - Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI) - 2+ years of relevant work experience - Excellent C/C++ programming and software engineering skills, ACM background is a plus - Good fundamental knowledges on computer architecture - Strong ability in abstracting problems and the methodology in resolving problems - Strong compiler backgrounds including MLIR/TVM/Triton/LLVM is desired - Good knowledge of GPU architecture and fast kernel programming skills is a plus - Knowledge of LLM algorithms or a certain HPC domain is a plus - Knowledge of multi-GPU distributed communication is a plus - Excellent oral communication in English is a plus 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/

N

Developer Technology Engineer - AI

Negotiable

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. Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and improve the value of our platforms for developers. We are seeking a passionate colleague to work as an AI Developer Technology Engineer. Our DevTech team is a global organization dedicated to pushing the boundaries of AI and computing. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware? If so, we invite you to consider this role! What you'll be doing: - Collaborating closely with key application developers to understand and address their current and future challenges. Developing and optimizing core parallel algorithms and data structures, providing top solutions with GPUs through reference code and direct app contributions. - Working intimately with diverse groups at NVIDIA including architecture, research, libraries, tools, and system software teams. Your insights will influence the development of next-generation architectures, software platforms, and programming models by investigating their impact on application performance and developer efficiency. - Researching and developing innovative techniques in AI. You'll conduct comprehensive analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures. What we need to see: - MS or PhD degree in AI computation or system optimization with a strong computational profile, or equivalent experience and 3+ years of relevant work. - Strong knowledge of C++, software development, programming techniques, and AI algorithms. - Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. - Proficiency in a specific domain, such as multi-modal model training or post-training. 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/ deeplearning

N

Deep Learning Performance Architect

Negotiable

We are now looking for a Deep Learning Performance Software Engineer! We are expanding our research and development for Inference. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Collaborate with the deep learning community to implement the latest algorithms for public release in Tensor-RT. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary. What you’ll be doing: - Develop highly optimized deep learning kernels for inference - Do performance optimization, analysis, and tuning - Work with cross-collaborative teams across automotive, image understanding, and speech understanding to develop innovative solutions - Occasionally travel to conferences and customers for technical consultation and training What we need to see: - Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI) - SW Agile skills helpful - Excellent C/C++ programming and software design skills - Python experience a plus - Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU - GPU programming experience (CUDA or OpenCL) desired - 2 years of relevant work experience NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

N

Solutions Architect - AI Factory

Negotiable

NVIDIA is seeking an outstanding Solutions Architect for AI Factory to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our Solutions Architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts passionate about AI Factory. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA! What you will be doing: - Maintain an up-to-date understanding of the philosophy, architecture, and deployment methods of various evolving NVIDIA Reference Architectures—e.g., NVIDIA DGX SuperPOD Reference Architecture, NVIDIA Cloud Partner Reference Design, and NVIDIA Enterprise Reference Architecture. - Analyze and understand the requirements of customer-initiated AI training or inference clusters. - Identify the NVIDIA Reference Architecture that best matches customer needs and effectively communicate its value proposition to collaborators. - Facilitate seamless communication between NVIDIA's internal deployment teams and customers during the implementation of AI clusters based on Reference Architectures. - Provide hands-on technical support to developers after the AI Factory has been deployed, ensuring that AI training and inference workloads run effectively on the infrastructure. What we need to see: - Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field. - Minimum of 7 years of hands-on experience designing, deploying, and operating AI training or inference clusters with sever, storage, and network, that leverage Kubernetes with NVIDIA GPUs. - Foundational knowledge and experience with networking technologies—such as InfiniBand and Ethernet—in AI cluster environments, including compute fabric interconnects between GPU servers, storage fabric integration, and out-of-band and in-band management fabrics. Ways to stand out from the crowd: - Proficiency in key technologies including: Container Runtime Interface (CRI), Container Network Interface (CNI), Calico, NVIDIA GPU Operator, NVIDIA Network Operator, and Kubeflow Training Operator. - Knowledge and experience of facilities being used in building AI Factories, including cooling devices, power distribution, or plumbing. 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, passionate and self-motivated, 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.

N

Inventory Control Planner

Negotiable

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 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 will be doing: - Support inventory control (IC) team for Chip, which including the areas of inventory transactions, reconciliation, aging inventory management, lot split and merge, shipment arrangement with subcons, IC UAT and all IC task assigned. - Maintain quotation in SAP system (OSAT). To execute the scrap audit in subcons. To execute the factory physical audit. - Support the new system implement project and related UAT. - Support the new Vendor / site bring up for inventory control and reconciliation (for APAC region) - Understand the critical role of the new product introduction planning team in executing the time-to-market plan of all the new products. - Collaborate with team members and business partners from different geographical locations. To apply your creativity and give feedback to the team members on ways to improve the business flows and work efficiency. What we need to see: - Degree in Industrial Engineering, Industrial Engineering Management or Business Administration (or equivalent experience). - Good communication, problem-solving, teamwork, interpersonal, and quantitative skills. - Proficiency in business software applications such as Microsoft Office (Excel, PowerPoint, Outlook), SAP, 3B2, B2B. - Language: Fluent English skills on reading, writing, speaking, and listening; Personality: highly organized, detailed orientated, a self-starter with a strong sense of ownership. - 4+ years of related experience in semiconductors or above is preferred. Ways to stand out from the crowd: - Demonstrate consistently the desire and ability to absorb knowledge know real world operational problems that hinder NVIDIA's ability to hit the goals. - Work with internal and external team members with strong interpersonal skills to establish action plans that can improve the overall performance of the company. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

N

Senior AI Verification Chip Design Engineer

Negotiable

NVIDIA is seeking a visionary AI Verification Engineer to join our Chip Design Methodologies team. We’re expanding how we use AI across all our verification methods. In this role, you’ll help us figure out where AI fits best and build the 'brains' behind our tools. You’ll help us leverage AI, utilizing LLMs and machine learning—to help us debug complex chips faster and more efficiently What You’ll Be Doing - AI Ecosystem Development: Build and deploy an AI verification environment, moving from manual testbenches to automated stimulus generation and coverage closure. - Next-Gen Tooling: Develop and integrate AI agents and ML models directly within the verification toolchain to automate intent-to-testbench workflows. - Intelligent Debugging: Create and refine AI-based debug assistants that can analyze simulation failures, categorize bugs, and suggest fixes autonomously. - Methodology Innovation: Research and apply groundbreaking AI approaches (such as Reinforcement Learning or LLMs) to address the "state-space explosion" in chip verification. - Collaborative Intelligence: Work with design automation teams and EDA vendors to ensure our AI solutions provide end-to-end efficiency from RTL to GDS. - Leadership & Training: Act as the authority, training the broader team on how to bring to bear AI tools and "human-in-the-loop" methodologies. What We Need to See - Bachelor’s Degree in Electrical Engineering, Computer Science, or equivalent experience. - 8+ years of hands-on pre-silicon verification experience. - Strategic Innovation: A perspective geared toward automation and a desire to redefine traditional "manual" verification workflows. Ways to Stand Out from the Crowd - AI for EDA: Experience building or using AI tools specifically designed for hardware verification (e.g., automated coverage, log analysis, or bug prediction). NVIDIA houses the most forward-thinking minds in the world. Are you a creative engineer ready to build the first truly self-verifying chip environment? Come join our team and help us define the future of hardware powered by artificial intelligence.

N

Senior Signal & Power Integrity Engineer

Negotiable

We are looking for Senior Signal & Power Integrity Engineer . 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 tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence! We work closely with NVIDIA sites in USA and China and have access to extensive knowledge, technologies and tools. Taking the products from concepting, through design, implementation, verification and release to customers. If you thrive working with highly skilled people that enjoy reaching challenging goals then NVIDIA might be the perfect workplace for you. This is a dynamic team working with state of the art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle ! What you'll be doing: - Design low-speed I/O channels such as clock circuits, DDR/memories and other sensitive signals. - Design layout guidelines for our packages and PCBs (for switches, adapters and electro-optical modules). - Design package/board/system SI/PI design activities, including PCB stack-up/material selection, design guide implementation, layout review and post-layout analysis. - Work closely with Architecture, ASIC, Mixed Signal, Package, and PCB design teams to design and ensure system SI/PI performance meets expectation. - Simulate passive and active elements in 3D and 2D simulation tools. - Measure systems in the lab using Network Analyzer, TDR and scope. - Work in an intense environment and control multi-discipline expertise What we need to see: - B.Sc. in Electrical Engineering (or equivalent experience) - 5+ years of experience - Expert with low-speed I/O simulations and design concepts including clock circuits, DDR/memories , transmitter & receiver design and equalization schemes. - Expert level proficiency with time domain analysis and tools. - Excellent understanding in electromagnetic waves including transmission line theory and via properties. - High level proficiency with electromagnetic tools (such as Ansys EM, CST, etc.) - Experience in Lab measurements including VNA & TDR. - Ability to work in an intense environment and control multi-discipline expertise. Ways to stand out from the crowd: - M.Sc./Ph.D. in Electrical Engineering. - Expert with time domain co-simulation of I/O circuits and PDN models. - Familiar with NRZ/PAM-4 signaling schemes. - Experience with MATLAB, Python, and C. 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 unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

N

Senior Physical Design Methodology Engineer, Innov...

Negotiable

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 looking for a physical design engineer to be a part of NVIDIA’s physical design (PD) methodology team driving innovation in PD across all of NVIDIA's products – Datacenter AI, HPC, Networking, Robotics, Autonomous driving, gaming and more. As the cadence of NVIDIA’s chip cycle shortens, it poses new challenges for physical design teams to not only deliver the best PPA on the chips, but to also do it at scale, in the shortest possible time. Your work in physical design methodology directly enables our speed to market in delivering industry’s leading chip hardware. This role provides a unique opportunity to innovate at the cutting edge of process technology, EDA tools, and PD flows through collaboration with RTL, synthesis, DFT, foundry, timing other cross functional teams to push the limits of physical design at scale. What you'll be doing: Developing innovative physical design methodologies for implementation of GPU, CPU, Network processors and SOC, with emphasis on PPA (Power, Performance, Area) and runtime improvement of the physical design flow on advanced technology nodes Work with internal and external partners to drive tool and methodology improvements to deliver best-in-class PPA solutions across all our product lines Use AI/ML approaches to CAD to improve design performance and turnaround time, while improving efficiency and productivity of designers What we need to see: MS in Electrical or Computer Engineering (or equivalent experience) Minimum 7 years of experience in Physical Design; emphasis on methodology and flow development is highly preferred Proven track record of PPA improvement on high performance and low power designs in advanced technology nodes Strong understanding of physical design optimization and routing methodologies at place, cts, route and postroute, especially power and area efficient setup and hold optimization Strong background in STA, extraction, timing and RC correlation Experience in low power design with UPF, and use of FSDB/SAIFs for power optimization Solid understanding of EM and IR analysis and closure Understanding of synthesis, hierarchical design, pinning and budgeting flows Experience with power distribution networks, Design for Yield and Manufacturability and thermal management Expertise and in-depth knowledge of industry standard EDA tools and proficiency in programming and scripting languages, such as TCL, Perl, Python, and C++ Ways to stand out from the crowd: Experience applying ML models, LLMs, and agentic AI techniques to EDA/PD problems (analytics, prediction, optimization) Proficiency with data analysis/ML libraries (e.g., NumPy, SciPy, scikit-learn, PyTorch, etc.) Proficiency in Cadence EDA tool suite – Innovus/genus/tempus/quantus/joules etc. NVIDIA is widely considered to be one of the technology world’s most desirable employers. And due to outstanding 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! Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 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 November 3, 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.

N

Senior Product Manager, AI Physics

Negotiable

At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for a technical and passionate product manager to join the NVIDIA team building our AI physics models, libraries, and frameworks. This role is responsible for leading some of our newest AI physics products, which are at the forefront of engineering acceleration and experiencing massive adoption and interest across CAE and EDA workloads..Come join our team in this highly visible and central opportunity to impact NVIDIA’s continued leadership in accelerated computing. NVIDIA's AI physics products are essential, visible and growing both inside and outside of NVIDIA. We are looking for a self-starting product manager to continue growing these impactful models, libraries, and frameworks. Do you have the unique blend of technical, positioning and communication skills? Are you excited about groundbreaking technology? If so, we would love to learn more about you! What You’ll Be Doing : - Leading: Take a leadership role in defining and positioning AI physics products, and building strategic go-to-market plans for AI physics across key industries. - Building: Bring ideas to life through product definition execution in collaboration with engineering, developer relations, and business development. - Presenting: Engage external and internal audiences, delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate. Collaborate with marketing, sales, and PR teams on content creation for partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more. - Collaborating: Team up with product managers from other departments, product marketing teams, campaign marketing, developer relations, business development, and field teams, to ensure alignment and execution of GTM and strategic business plans. What We Need To See: - Graduate degree or equivalent experience in AI, physics, mathematics, mechanical engineering, electrical engineering, computer engineering, or relevant technical field. - 8+ years of combined experience in a product management or technical role at a technology company working with AI, libraries, SDKs, frameworks, and/or toolkits. - Familiarity with AI frameworks and AI architecture for physical simulation. - Strong technical foundation in GPU computing, CUDA, or parallel programming models. - Excellent communication and presentation skills, with the ability to work across engineering, marketing, and business teams. - Proven ability to translate technical capabilities into developer and customer value. - Ability to prioritize multiple projects and work independently with minimal direction. Ways To Stand Out From The Crowd: - Experience with computer-aided engineering or high performance computing. - Prior experience managing AI-enhanced simulation products. - Experience driving go-to-market strategy and customer engagements for technical products. 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 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 14, 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.

N

Senior Software Engineer, Metrics and Evaluation -...

Negotiable

Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What you will be doing: Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software. Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards. Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems Work with the Planning & Control team to develop and drive software testing strategies What we need to see: MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields 8+ years experience working in software engineering, data science, and/or experiment design roles Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib) Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system Ability and enthusiasm to ramp up quickly on new technical domains Ability to multitask and prioritize in a fast paced environment Excellent organizational and interpersonal skills Ways to stand out from the crowd: Experience developing on-board planning algorithms Developed metrics for autonomous vehicle robotics systems Experience with evaluating precision and recall of performance metrics Familiarity with C++ Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies. #AutonomousVehicles Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 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 November 3, 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.

N

Senior ASIC Design Engineer - DFX

Negotiable

We are now looking for a Senior ASIC Design Engineer - DFX! 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 tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What You’ll Be Doing: As a key member of our DFX Methodology Team, you will play a critical role in shaping the architecture, design, implementation, and verification of DFT IPs for our next-generation SoC products. You’ll help drive innovation across the full silicon lifecycle—from pre-silicon to post-silicon—while mentoring and collaborating with cross-functional teams. Your key responsibilities would include: - Own the architecture and design of fuse controller and other DFT IPs for cutting-edge SoC designs. - Develop, deploy, and enhance DFT methodologies for scalability and future product needs. - Define and align feature sets by working closely with architects, platform, and software teams. - Partner with design, verification, synthesis, timing, and backend teams to ensure cohesive integration. - Create and execute test plans to support both functional and DFT full-chip verification. - Support post-silicon bring-up and validation efforts including debug and issue resolution. - Mentor junior engineers on test design strategies and trade-offs related to cost, quality, and performance. What we need to see: - Bachelors degree (or equivalent experience) with 8+ years of experience, or Master’s degree in Electrical Engineering or related field with 6+ years experience. - 5+ years of hands-on experience in SoC architecture, RTL design, and verification. - Strong proficiency in micro-architecture and RTL development using Verilog. (UVM experience is a plus.) - Deep expertise in DFT design, methodology, and implementation. - Familiarity with related domains such as clocking, STA, place & route, and power optimization. - Experience in post-silicon bring-up on ATE, including understanding of pattern formats, test program development, and failure analysis. - Proficiency in scripting languages such as Python, Perl, or Tcl. - Excellent communication skills and a collaborative mindset—with a curiosity and passion for solving complex technical challenges. Why Join Us? This is an opportunity to apply your DFT and SoC architecture expertise to some of the industry’s most complex and impactful semiconductor designs. At NVIDIA, your ideas will help shape energy-efficient compute platforms used by scientists, engineers, creators, and gamers around the world. You’ll grow alongside world-class engineering teams in a collaborative, fast-paced environment that values innovation, excellence, determination, and teamwork. We offer competitive compensation, comprehensive benefits, and meaningful opportunities to advance your career. 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 14, 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.

N

Developer Relations Manager, Local AI Ecosystem

Negotiable

NVIDIA is redefining computing at the intersection of graphics, accelerated computing, and AI. We are building platforms that make advanced AI useful wherever people create, work, and build. Doing what has never been accomplished before requires imagination, inventive thinking, and outstanding people. Come join a diverse, encouraging team where you can help build the future generation of computing. We are seeking a highly technical and strategic Developer Relations leader to grow NVIDIA's local AI ecosystem. This role will work directly with the companies and collaborative software projects building the models, runtimes, tools, agent platforms, and applications that bring AI onto PCs, workstations, and personal AI. You will be a trusted partner to external developers and an internal advocate for their needs. You will help partners adopt and optimize NVIDIA technologies, remove integration barriers, and deliver excellent on-premise and combined AI experiences. The ideal candidate combines hands-on AI software expertise, strong partner instincts, and can transform emerging ecosystem opportunities into repeatable technical and go-to-market outcomes. Does this sound like your dream job? Those who are motivated and passionate about bringing new technologies to market should join us! What you'll be doing: - Own a portfolio of strategic local AI partners as NVIDIA's primary relationship and technical engagement lead, from opportunity identification and onboarding through integration, launch, and ongoing adoption. - Serve as a trusted technical advisor and problem solver for model developers, AI application and tool providers, agent-platform companies, inference-runtime teams, and open-source communities. - Drive adoption and optimization of NVIDIA accelerated computing, AI runtimes, SDKs, and developer tools across local and hybrid AI workflows on Windows and Linux. - Define joint partner plans with clear technical milestones, success criteria, launch readiness, and measurable ecosystem outcomes. - Engage directly with partner engineers, technical leaders, founders, and development groups to understand goals, unblock integrations, and promote guidelines for performance, reliability, and user experience. - Represent the voice of the partner inside NVIDIA, translating field insights into actionable product requirements and roadmap feedback for engineering and product teams. - Collaborate with engineering, product management, Developer Technology, business development, marketing, legal, and sales to structure and complete complex partner engagements. - Create and scale technical enablement through reference integrations, samples, tutorials, workshops, playbooks, and partner-ready launch materials. - Represent NVIDIA at developer events, conferences, community forums, and partner briefings, communicating a clear and credible point of view on local AI. - Track emerging models, frameworks, runtimes, developer behaviors, and competitive shifts, then turn those signals into partner priorities and ecosystem strategy. 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 professional experience in software engineering, developer relations, developer advocacy, solutions architecture, technical partnerships, or a similar technology position. - Strong hands-on experience with AI/ML software, including generative AI models, inference, model serving, or AI application development. - Working knowledge of GPU acceleration and the software layers that shape local AI performance, such as inference frameworks (vLLM, SGLang, Llama.cpp, Ollama), model formats, quantization, memory management, and hardware-aware optimization. - Experience building and leading technical relationships with software companies, independent software vendors, startups, or open-source projects from initial engagement through production delivery. - Demonstrated ability to structure complex technical engagements, negotiate requirements, prioritize issues, and coordinate execution across engineering, product, marketing, business, sales, and legal teams. - Excellent written, verbal, and presentation skills, with the ability to explain complex technical concepts to audiences ranging from hands-on developers to senior executives. - Strong judgment, initiative, and follow-through in fast-moving environments with incomplete information and multiple stakeholders. - Ability to occasionally travel as needed for partner engagements, developer events, and industry conferences (less than 20% of the time). Ways to stand out from the crowd: - Hands-on experience building or optimizing local AI applications, inference engines, agent systems, or developer tools for GPU-accelerated PCs and workstations. - Experience with LLMs, VLMs, diffusion models, speech models, retrieval systems, tool use, or agentic application patterns. - Depth in one or more performance-critical areas such as quantization, distributed or multi-GPU inference, low-latency serving, heterogeneous compute, or model packaging and deployment. - A track record of turning partner integrations into successful launches, developer adoption, compelling technical content, and durable ecosystem relationships. - Prior experience with GPU manufacturers, AI platform companies, model providers, cloud or edge AI providers, research labs, or high-growth developer-tool companies. 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 14, 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.

N

Senior AI and Quant DevTech Engineer

Negotiable

We are looking for a software engineer with a strong background in parallel processing and GPU architecture to push the limits of performance at the intersection of AI, high-performance computing, and financial markets. In this role, you will dive deep into parallel algorithms, GPUs, and sophisticated systems, identifying and eliminating bottlenecks to unlock the full power of the world’s most advanced processing hardware. You will collaborate with top experts across industry and academia, influence next-generation platforms, and share your insights with the global developer community. Do you enjoy solving hard technical problems, love performance tuning, and want your work to have a visible impact across an entire industry? If so, we'd love for you to consider this role. What you will be doing: - Designing and developing groundbreaking techniques to accelerate high-performance workloads at the intersection of AI, math, and financial systems. - Working hands-on with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures. - Profiling and eliminating performance bottlenecks across the stack—from algorithms to kernels to system-level behavior. - Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community. - Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams. What we need to see: - Strong hands-on experience with CUDA and parallel programming. - Deep understanding of CPU/GPU architecture fundamentals and how they impact performance. - A Master’s or PhD in Computer Science, Computer Engineering, Electrical and Computer Engineering, or a related field. - Fluency in C/C++ and a solid foundation in algorithms and software design. - 5+ years of relevant work or research experience. - Proven experience improving the performance of large-scale computational applications on GPUs. - Excellent understanding of linear algebra. - Strong communication and organizational skills, with a logical approach to problem-solving and solid prioritization abilities. Ways to stand out from the crowd: - Experience with inference optimization techniques and deploying optimized AI models in production. - Experience with TensorRT, TensorRT-LLM, and cuTile. - Experience parallelizing and optimizing machine learning methods such as decision trees, time-series models, and Monte Carlo simulations. 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 - 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 14, 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.

N

Senior Machine Learning Engineer

Negotiable

Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving vehicle powered by AI can meander through a country road at night and find its way. NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots, and self-driving vehicles that can perceive and understand the world. Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV. We are seeking the best Machine Learning Engineers with a background in computer vision, LiDAR & camera perception, multi-sensor fusion and AI infrastructure who are passionate about solving the hardest problems for self-driving cars. Are you interested in inventing human-level AI for perception under real world conditions? If so, join us! What You'll Be Doing: - Model Development: Design, train, and optimize innovative machine learning models for LiDAR/camera perception and multi-sensor fusion (e.g., object detection/classification, image classification, semantic segmentation, tracking). - Develop and coordinate entire ML workflows, covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting. - Productization: Take ML models and algorithms from initial evaluation and experimentation all the way to product level on the NVIDIA DRIVE AV platform, developing highly efficient product code in C++. - Innovation: Keep track of the latest developments in machine learning, and incorporate techniques that improve platform performance. - Collaborate with LiDAR/camera teams, developers, engineers, and managers to turn complex ideas into reliable solutions for autonomous driving. What We Need to See: - MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience. - 8+ years of relevant proven industry experience applying machine learning to address real-world problems. - Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems. - Deep practical experience applying machine learning to lidar/camera perception and multi-sensor fusion in automotive or related fields. - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of the mathematical foundations of ML. - Building and sustaining training and essential metric workflows for large-scale datasets. - Excellent communication and analytical skills. Self-motivated drive to solve hard problems. Ways to Stand Out From the Crowd: - Multi-sensor fusion, LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera and Multi-Sensor Fusion in a production environment. - Advanced Model Knowledge: Familiarity with modern network architectures like Transformers and their application to visual recognition tasks. - AV Production Experience: A history of delivering ML features and models into a production autonomous vehicle stack or a related robotics product. - Performance Optimization: Experience with model optimization for real-time inference on embedded or automotive platforms (e.g., using TensorRT). We believe that realizing self-driving vehicles will be a defining contribution of our generation (e.g., traffic accidents are responsible for ~1.25 million deaths per year worldwide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most brilliant and talented people in the world working here. 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 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 14, 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.

N

Senior Research Engineer - Enterprise Products

Negotiable

We are now looking for a Senior Research Engineer passionate about Generative AI inference. Are you excited to change the way people infuse AI into products and services? NVIDIA is at the forefront of generative AI models, from language to images. NVIDIA provides building blocks to democratize AI and make generative AI easy to develop, integrate, and deploy. Our team is dedicated to developing optimized inferencing technologies to support our growing generative AI needs. We contribute to all steps of the machine learning lifecycle: from conceptualization, to applied research, engineering for optimized inference, and deployment. Collaborate with research teams, engineers, and open-source community. What you will be doing: - Design and evaluate routing policies for LLM traffic to best use mixture of model systems. - Build and run agentic benchmarks (e.g., Terminal-Bench ) to measure algorithm quality, and turn results into calibration data and routing profiles - Ship to an open-source repo: design docs, code review, docs, and community contributions - Collaborating with engineering teams across all of NVIDIA to ensure our software integrates seamlessly up and down the NVIDIA accelerated serving stack. What we need to see: - Bachelor's of Master's degree in Computer Science or equivalent experience. - 8+ years of industry experience in Deep Learning frameworks (PyTorch or TensorFlow). - Experience designing or running LLM evaluations/benchmarks — ideally agentic ones — and drawing statistically sound conclusions from them - Understanding of modern techniques in Machine Learning, Deep Neural Networks, Natural Language Processing, or Speech Recognition. - Empirical research mindset: forming hypotheses about new algorithms, running calibrations, iterating on results - Strong communication and interpersonal skills, along with the ability to work in a dynamic and distributed team. A history of mentoring junior engineers and interns is a huge plus. - A desire to constantly grow and learn new things. - Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software. Ways to stand out from a crowd: - Experience architecting or developing large-scale distributed systems for deep learning. - Agentic benchmark creation and publications. - Knowledge of CPU and/or GPU architecture. - GPU programming (CUDA). Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 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 14, 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.

N

Senior Solutions Architect

Negotiable

NVIDIA is looking for an experienced network infrastructure Solutions Architect. Do you want to be part of a team that brings Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a networking savvy Solutions Architect to join the NVIDIA team focused on supporting accelerated networking for AI, Machine Learning, and HPC. As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA’s most strategic technology customers. What you’ll be doing: - Working with Cloud Providers and Hyperscalers to develop and demonstrate networking solutions based on NVIDIA groundbreaking networking hardware - Partner with Sales Account Managers to identify and secure business opportunities for NVIDIA networking products and solutions - Work with customers on POCs for AI fabric solutions to address critical business needs - Conduct regular technical customer meetings for intro to new technologies and products, feature discussions, workshops and performance debugging sessions - Provide recommendations to business and engineering teams on product strategy. What we need to see: - BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. - 12+ years of Solutions Architect or similar technical pre-sales roles. - Strong sense of achievement, customer oriented demeanor, and skills to drive technical pre-sales activities - Practical knowledge of sophisticated networking for AI data centers, including InfiniBand and Ethernet fabric topologies, RDMA protocols, host networking and switches. - Experience with end-to-end network performance debugging - hosts, switches, and optics. - Effective time management and capable of balancing multiple tasks - Ability to communicate ideas clearly through documents, presentations, etc. Ways to stand out from the crowd: - External customer facing skills and background - Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs and switches, as well as RDMA and TCP protocol tacks - Good understanding of system hardware architecture impact on network performance, including kernel drivers, PCIe devices, NICs, DPUs and GPUs - Large-scale GPU infrastructure deployments with TCP or RDMA - Experience designing and debugging Ethernet/InfiniBand networks NVIDIA is widely considered to be one of the technology world’s best places to work. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 15, 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.

N

Software Engineering Manager - GPU Communications...

Negotiable

We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! We are looking for a technical leader to manage our NVSHMEM and UCX libraries. This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: - Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries. - This is a technical leadership role so you will participate in feature design and implementation. - Interact with internal and external partners and researchers to understand their use cases and requirements. Collaborate with engineering teams, program and product management, and partners to define the product roadmap. - Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner. What we need to see: - 10+ overall years of experience in the software industry with specialization in HPC networking or system software. - 4+ years of management experience. - BS, MS, or Ph.D. in CS, CE, EE (related technical field) or equivalent experience. - Prior systems software or communication runtime or high performance networking software development experience with a successful track record of taking several complex software features or products through the full product life cycle. - Strong understanding of computer system architecture, operating systems principles (aka systems software fundamentals), HW-SW interactions and performance analysis/optimizations. - Excellent C/C++ programming and debugging skills in Linux. - Experience balancing multiple projects with competing priorities. - Flexibility to work and communicate effectively across different teams and timezones. Ways to stand out from the crowd: - Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC). Experience with programming using CUDA, MPI, OpenMP, OpenACC, pthreads. - Background with RDMA, high-performance networking technologies (InfiniBand, RoCE, Ethernet, EFA), network architecture and network topologies. Knowledge of HPC and ML/DL fundamentals. - Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. 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. 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 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 184,000 USD - 287,500 USD for Level 2, and 224,000 USD - 356,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 15, 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.

N

Senior Systems Software Engineer, AI Stack and Per...

Negotiable

DGX Station (Galaxy) is NVIDIA’s workstation-class AI computer—built on GB300 Blackwell GPUs with NVLink interconnect, delivering data-center-grade AI compute in a deskside form factor. DGX Station is shipped to OEM and OSV partners as a complete SW/FW GA release including firmware bundles, DGX BaseOS, GPU drivers, CUDA toolkit, DCGM, and DOCA/OFED. For DGX Station to deliver on its promise, AI applications like NemoClaw, LLM inference via NIM, Hermes agents, and deep learning frameworks must run production-ready out of the box—optimized for the multi-GPU, high-bandwidth architecture of this platform. We are looking for a deeply technical systems software engineer who will own AI stack readiness on DGX Station. You will profile workloads, identify bottlenecks across GPU compute, NVLink, memory, and host interconnects, drive optimizations across the full stack—from GPU kernels through frameworks to applications—and work hands-on with framework, compiler, and GPU architecture teams to ensure DGX Station delivers best-in-class performance for real AI workloads in multi-user and multi-GPU configurations. What you’ll be doing: - AI Application Readiness: Own production readiness of AI applications on DGX Station—NemoClaw, Hermes agents, NIM microservices, and key customer workloads. Define “ready to ship” criteria, run validation, and close every gap between “it runs” and “it runs well” across single-GPU and multi-GPU configurations. - DL Framework Performance: Work cross functionally with different orgs to profile and optimize LLM and deep learning workloads (PyTorch, TensorFlow, JAX) across training and inference on the GB300 Blackwell multi-GPU architecture. Characterize performance across model sizes, batch sizes, precision modes (FP16, INT8, FP8), and GPU scaling (single-GPU vs. multi-GPU with NVLink) to establish benchmarks and identify regression. - System-Level Optimization: Identify bottlenecks in GPU compute, NVLink bandwidth, host memory, PCIe, and CPU–GPU communication. Implement or drive optimizations across the stack: kernel tuning, memory placement, NVLink utilization, data pipeline efficiency, and scheduling to increase throughput on DGX Station’s multi-GPU topology. - Compiler & Kernel Collaboration: Work with NVIDIA’s framework, compiler (TensorRT, NVCC, Triton), and GPU architecture teams to improve kernel fusion, graph execution, operator scheduling, and memory management for Blackwell GPUs. Translate DGX Station’s platform-specific constraints and multi-GPU topology into actionable optimization requests for upstream teams. - Multi-User & Concurrency: Validate multi-user and concurrent workload scenarios—multiple users running simultaneous training jobs, inference serving alongside development, and resource isolation via MIG or time-slicing. Ensure DGX Station performs reliably as a shared workstation. - Stack Validation: Validate the full NVIDIA AI software stack on DGX Station: CUDA toolkit, cuDNN, TensorRT, NCCL, Triton Inference Server, DCGM, and DOCA/OFED. Ensure version compatibility, functional correctness, and performance parity with reference data center configurations. - Benchmarking & Regression: Build and maintain performance benchmarking infrastructure for DGX Station—automated regression tracking across key models (LLaMA, GPT, Stable Diffusion, Whisper), framework versions, and driver updates. Make performance data visible and actionable for GA release decisions. - Customer & Partner Alignment: Work with product management and OEM/OSV partners to understand target use cases (local LLM training and inference, agentic AI, multi-user research, RTX Pro workloads) and ensure DGX Station delivers compelling performance for each. Support customer deployment readiness and field critical issues. What we need to see: - BS or MS or equivalent experience in Computer Science, Electrical Engineering, or related field. - 12+ years in systems software engineering with hands-on experience in AI/ML workload optimization, GPU performance analysis, or deep learning infrastructure. - Strong proficiency with deep learning frameworks—PyTorch, TensorFlow, or JAX—including internals: graph execution, operator dispatch, memory management, and custom kernel integration. - Experience profiling and optimizing GPU workloads using Nsight Systems, Nsight Compute, CUPTI, or equivalent. Ability to read GPU traces and translate observations into actionable optimizations. - Strong understanding of GPU architecture: compute units, memory hierarchy, NVLink, multi-GPU scaling, and how they impact AI workload performance. - Experience with inference optimization: quantization (INT8/FP8), model compilation (TensorRT, torch.compile), batching strategies, and serving frameworks. - Proficiency in C/C++, CUDA, and Python. Comfortable reading and modifying GPU kernels . Ways to stand out from the crowd: - Experience optimizing LLM training or inference on multi-GPU NVIDIA systems (DGX, HGX, or multi-GPU workstations). - Contributions to open-source AI frameworks, CUDA libraries, or inference engines. - Experience with multi-GPU communication optimization—NCCL tuning, NVLink utilization, collective operations, and parallel training strategies. - Track record of collaborating with compiler and hardware architecture teams to drive kernel fusion, graph optimization, or hardware-specific performance improvements. - Experience shipping AI-powered products where application performance on specific hardware was a hard shipping requirement. NVIDIA is considered 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’s invention of the GPU in 1999 fueled the growth of PC gaming, redefined modern computer graphics, and revolutionized parallel computing. GPU deep learning has since ignited a new chapter in computing, powering AI systems that can perceive and interpret the world. Today, NVIDIA is recognized as the AI computing company, and we’re continuing to expand our teams with outstanding 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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 16, 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.