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AI/HPC Cluster Thermal Design Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE We are seeking a Cluster Thermal Engineer to help architect and deliver scalable thermal solutions for AI/HPC clusters and data center deployments. In this role, you will support the evaluation, modeling, and validation of cooling architectures for high-density platforms. You will work closely with system architects, platform engineers, and data center operations teams to ensure thermal performance, reliability, and serviceability across development and deployment environments. THE PERSON You are an early-career mechanical/thermal engineer with strong fundamentals in heat transfer, thermodynamics, and fluid dynamics, and a keen interest in AI/HPC infrastructure and data center cooling. You enjoy hands-on problem solving, learning complex systems, and collaborating across disciplines. You communicate clearly, document your work well, and are motivated to grow your expertise in cluster- and facility-scale thermal architecture. KEY RESPONSIBILITIES - Support the thermal design of AI/HPC cluster solutions, including compute racks, cooling loops, and facility interfaces. - Assist in evaluating cooling architectures (air cooling, direct liquid cooling, hybrid approaches) and identifying trade-offs in performance, cost, complexity, and reliability. - Build and refine thermal and airflow models for system/cluster/data center concepts using industry tools (e.g., OpenFOAM, ANSYS, FloTHERM, or similar). - Contribute to flow-network modeling for liquid cooling and coolant distribution analyses to ensure adequate flow, pressure, and temperature margins. - Help define and execute test plans to validate thermal performance at component, system, and rack/cluster levels. - Support integration of cooling solutions and thermal telemetry at the cluster level in collaboration with power, networking, platform, firmware, and controls teams. - Participate in design reviews with internal stakeholders and external partners/customers; summarize findings and track action items. - Assist with experimental setup, instrumentation, data collection, and analysis in partnership with validation and lab teams. - Create and maintain technical documentation, including requirements, design notes, modeling assumptions, test reports, and user/customer-facing summaries. - Support issue triage and root-cause analysis for thermal performance and reliability concerns during bring-up and deployment. PREFERRED EXPERIENCE / SKILLS - Strong understanding of fundamentals: thermodynamics, fluid dynamics, and heat transfer. - Familiarity with electronics cooling concepts (heat sinks, cold plates, TIMs, heat exchangers, pumps, valves, fans). - Exposure to data center or cluster thermal concepts such as: - rack/row layout considerations, - CDU/coolant distribution, - RDHx/AHU/fan-wall concepts, - chilled water interfaces and heat rejection. - Exposure to one or more thermal/CFD simulation tools (ANSYS, COMSOL, FloTHERM, OpenFOAM, or similar). - Familiarity with measurement and validation practices (instrumentation, uncertainty, sensor placement, data analysis). - Comfort working in cross-functional engineering environments and communicating technical ideas clearly. - Bonus: understanding of PUE/WUE drivers, economizers/free cooling, or waste-heat reuse concepts. - Bonus: coursework in heat transfer, thermodynamics, two-phase flow and heat transfer, refrigeration -Bonus: projects, internships, or research related to HPC/AI infrastructure, data centers, or high-power electronics cooling. ACADEMIC CREDENTIALS - Bachelor’s, Master’s or Ph.D. degrees in Mechanical Engineering with expertise in thermal management of electronics. This role is not eligible for Visa Sponsorship. LI-KW1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior AI Switch Systems Design Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are looking for a hands-on, technically sharp system design engineer to join our growing team and lead the bring-up of cutting-edge scale-up switches at the heart of next-generation AI rack infrastructure. As a key contributor, you will bring deep expertise in high-speed Ethernet, server management, and platform validation to drive switch platforms from initial power-on through full system qualification. In this role, you will take full ownership of bring-up execution, apply your debugging skills to solve complex multi-layer problems, and collaborate closely with hardware, firmware, and software teams to deliver production-ready systems. THE PERSON: You're a highly motivated team player with a strong development background, problem solving mentality, excellent communication skills, ability to prioritize tasks along with willingness to learn and adapt. Excellent teamwork skills and capable of working independently. KEY RESPONSIBILITIES - Lead the system bring-up and validation of state-of-the-art AI scale-up switches purpose-built for high-density GPU compute racks, from initial power-on through full system validation - Perform high-speed SerDes and link bring-up, including configuring and validating Auto-Negotiation/Link Training (AN/LT), tuning TX equalization, and characterizing signal integrity across 200G/400G/800G interfaces - Execute comprehensive link qualification testing using PRBS (Pseudo-Random Binary Sequence), Snake Traffic loopback testing, and FEC (Forward Error Correction) analysis to validate BER performance at scale - Utilize LinkCAT and Broadcom SDK tools to characterize port performance, diagnose link failures, and validate PHY configurations across large port counts - Integrate and validate server management infrastructure including BMC/IPMI, Redfish API, and out-of-band management workflows for automated bring-up and health monitoring - Develop and maintain bring-up scripts and test automation (Python) to accelerate validation coverage across chassis configurations - Debug complex system-level failures spanning hardware, firmware, and software including signal integrity issues, firmware crashes, and management plane anomalies and drive issues to root cause - Collaborate with hardware, firmware, and software teams to reproduce failures, document findings, and verify fixes across platform revisions - Maintain detailed bring-up documentation, test reports, and issue tracking throughout the product development lifecycle PREFERRED EXPERIENCE - Extensive hands-on experience in hardware bring-up, platform validation, or high-speed networking silicon characterization - Experience with high-speed switch ASICs (Broadcom TH6/Tomahawk series preferred) and familiarity with Broadcom's SDK/DAPI frameworks - Deep understanding of high-speed Ethernet standards (400GbE, 800GbE) including AN/LT (IEEE 802.3), RS-FEC / KP4-FEC, and PAM4 SerDes technology - Hands-on experience with PRBS testing, BER measurement, eye diagram analysis, and Snake/loopback traffic validation methodologies - Familiarity with LinkCAT or equivalent PHY/link characterization tools - Experience with server management protocols: IPMI, Redfish/OpenBMC, KCS, IPMB, and PLDM for out-of-band control and telemetry - Proficiency in Python for test automation, log parsing, and data analysis - Strong debugging skills — comfortable working across hardware (oscilloscope, protocol analyzer), firmware logs, and software traces to isolate root cause - Experience reading schematics and PCB layout to correlate signal integrity observations with hardware design - Excellent communication skills with the ability to document findings clearly and collaborate across multidisciplinary teams - Experience with high-density switch/router platforms or AI/ML fabric infrastructure is a strong plus ACADEMIC CREDENTIALS: - Bachelor’s/Master’s degree in Computer Science or related field strongly preferred LOCATION: Secaucus, NJ/ Austin, TX This role is not eligible for visa sponsorship. LI-SC3 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Framework Eng.
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are looking for a dynamic, upbeat software engineer to join our growing team. Your work will focus on building robust, efficient software components that enable high-performance execution of large language models and multimodal models across multi-GPU systems. You’ll collaborate with internal GPU library teams and open-source maintainers to implement features that improve throughput, latency, and scalability. This role emphasizes full-stack development within AI inference systems, with a strong focus on model behavior and framework integration. THE PERSON: A motivated early-career software engineer with solid foundational skills in Python and/or C++ in Linux environments. The ideal candidate has hands-on experience or strong academic exposure to deep learning systems, understands LLM and multimodal model architectures, and is eager to write production-quality code that balances functionality, correctness, and performance. KEY RESPONSIBILITIES: - Deep Learning & LLM Framework Optimization: Experience with optimizing major DL/LLM frameworks ( PyTorch , vLLM , SGLang ) for AMD GPUs and contribute improvements upstream. - Model-Aware Implementation : Build features that interact closely with LLMs and multimodal architectures (e.g., Llama, Qwen-VL, Wan), requiring understanding of attention mechanisms, cross-modal fusion, KV caching, and quantization. - Performance-Conscious Coding : Write efficient, scalable code while considering memory usage, concurrency, and bottlenecks in multi-GPU environments. - Profiling : Use profiling tools to evaluate the impact of your changes, identify regressions, and validate performance improvements as part of the development cycle. - End-to-End Performance Engineering: Perform comprehensive profiling to identify bottlenecks and implement system, memory, and communication optimizations across multi-GPU and multi-node setups. - Compiler & Pipeline Acceleration: Leverage compiler technologies and graph compilers to enhance the full deep learning and inference pipeline. - Research & Advanced Techniques: Prototype and integrate emerging optimization methods such as speculative decoding and weight-only quantization into production systems. - Cross-Team & Open-Source Collaboration: Collaborate with internal GPU library teams and open-source maintainers to align improvements and ensure seamless upstream integration. - Software Engineering Excellence: Apply robust engineering practices to deliver maintainable, reliable, and production-quality performance optimizations. MANDATORY EXPERIENCE: - Software Engineering Skills: Familiarity in Python. Familiarity with C++ or async programming is a plus. - Understanding of LLM or multimodal model concepts : Knowledge of transformer architectures, attention mechanisms, vision-language alignment, and inference pipelines (e.g., image + text input handling). Have theoretical grounding in Transformer/Attention/MoE/KV Cache, and quantization (FP8/FP4). - Linux development environment : Comfortable using command-line tools, Git, and standard debugging/profiling utilities. - End-to-End LLM Performance Engineering: Experience with profiling and diagnosing compute , memory, and communication bottlenecks across multi-GPU and multi-node environments. - Software Engineering Excellence & Community Contribution is a plus: Solid Python/C++ coding skills and experience debugging and testing practices, proven ability to deliver maintainable performance-critical software, and a track record of open-source contributions with strong self-motivation. - GPU Kernel Development & Optimization is a plus: Knowlege of high-performance GPU kernels tuning for AMD GPUs using HIP, CUDA, ASM, and tools like CK, CUTLASS, and Triton. - Compiler & System-Level Optimization is a plus: Foundational knowledge of LLVM, ROCm , and compiler-driven techniques for improving kernel and system performance. - Model Architectures & Optimization Expertise : Knowledge with multimodal models (e.g., Qwen-VL, Qwen-Image-Edit, Wan) or diffusion-based generative models. - Development Skills: Exposure to GPU computing ( ROCm , CUDA) or performance profiling tools (e.g., PyTorch Profiler). - Distributed Systems Experience: Experience with distributed inference for large-scale models (e.g., Tensor Parallel, Pipeline Parallel). ACADEMIC & PREFERRED QUALIFICATIONS: - Bachelor ’ s in Computer Science , Computer Engineering, Electrical Engineering, or a related field . LI-EH1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Technical Program Manager - AI
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. T HE ROLE: As a Program Manager in AMD's AI engineering division, you will oversee end-to-end delivery of cutting-edge AI/ML software stacks for AMD teams. You will explore the potential of open-source software to address real-world challenges and collaborate with product management, customers, software and hardware engineering teams, quality assurance, and operations within a rapidly expanding team. Additionally, you will gain exposure to state-of-the-art AI/ML models in diverse fields, including AI engineering, Large Language Models, and Agentic AI workflows. THE PERSON: The ideal candidate for this role will be a proactive, enthusiastic, and quick-learning individual passionate about emerging technologies. As a results-driven, adaptable problem-solver, they will thrive in a dynamic environment, effectively navigating ambiguity and change. Leveraging their engineering background and demonstrated success in software delivery, the successful candidate will possess exceptional communication skills, engaging with key stakeholders at all levels – from driving technical conversations to leading executive program reviews. KEY RESPONSIBILITIES: - Collaborate with engineering managers, software developers, and product managers to drive the planning and execution of multiple dynamic software development projects - Define, plan, and execute projects and program plans based on management guidance and senior technical mentorship - Assess the technical feasibility of new products by clarifying and analyzing requirements with software/hardware architects, technical leads, and engineers - Develop program schedules, considering various software stack components and hardware/firmware dependencies, and build staffing plans to support the timeline - Participate in creating project plans and schedules; develop and improve processes for tracking projects and risk mitigation - Deliver on all assigned program commitments from inception through execution within schedule, budget, and scope - Act as a critical liaison between R&D and other partners for successful project execution - Own resource tracking, status reporting, and issue communication to key partners, including senior executives and customers - Prepare and deliver project status updates and reviews to internal stakeholders - Investigate technical aspects of the program and drive details within firmware, compiler, runtime, tools, and application development teams - Lead across cross-functional teams, including business units, engineering organizations, and finance/operations - Collaborate closely with engineering counterparts across global sites to plan and align operational efficiencies PREFERRED EXPERIENCE: - Industry experience in project management - Excellent presentation and leadership skills, able to lead technical discussions - Strong interpersonal skills - Exceptional written and verbal communication skills - Experience leading complex, interrelated projects, programs, and functions - Outstanding team player, dedicated to meeting deadlines in a fast-paced, multitasking environment - Customer-facing experience is a plus - Familiarity with managing Linux and Windows-based products is beneficial - Proficiency in tools like JIRA, Confluence, SharePoint, and MS Office - Experience delivering software for new hardware products such as accelerators and GPUs is advantageous - Experience with AI/ML and Generative AI is required - Familiarity with open-source development and GitHub - Experience with virtualization frameworks (e.g., Docker, Kubernetes) - Software development & deployment experience ACADEMIC CREDENTIALS: - Bachelor’s or Master’s degree in Computer/Electrical Engineering LOCATION : Austin, Tx LI-HYBRID LI-PA1 This role is not eligible for visa sponsorship. Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Technical Lead Computer Vision Software Developmen...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. LEAD SOFTWARE DEVELOPMENT ENGINEER THE ROLE: We are looking for a talented engineer to join our team: developing heterogeneous software for computer vision, image/video processing as part of the AMD Radeon Open Ecosystem (ROCm). The ideal candidate thrives in a fast-paced environment and brings strong communication, problem-solving, and prioritization skills to the table. We value individuals who are critical thinkers, detail oriented and passionate about building high-performance software. THE PERSON: You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount. You possess excellent written and verbal communication skills, strong attention to detail, and the ability to express your work in a clear, cohesive fashion. Most importantly, you are constantly thinking of ways to make world-class software with reliability and performance. KEY RESPONSIBILITIES: - Design, develop, and optimize GPU/CPU software for computer vision, image and video processing workloads. - Validate new SW features before releasing them to customers. - Collaborate with cross-functional teams to deliver robust software extracting best performance from AMD hardware - Debug and resolve complex software issues across multiple layers of the stack. - Apply software engineering methodologies and AI tools to ensure robust, maintainable code - Develop technical relationships with peers and partners - Work very closely with dev teams and Project Managers to drive results PREFERRED EXPERIENCE: - Proficiency in C/C++ and Python. - Experience in video codecs, image processing and machine learning frameworks - Familiarity with computer vision libraries like OpenCV, FFMpeg, OpenVX etc. - Experience with GPU programming (e.g., HIP, CUDA). - Familiarity with ROCm or similar heterogeneous computing platforms. - Experience with open-source development and Git and feature tracking software (e.g., Jira) - In-depth knowledge of best practices in software development, including testing, profiling, debugging, documentation, version control, issue tracking, and planning - Quick in learning new tools and frameworks ACADEMIC CREDENTIALS: - Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline LI-PK1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Software Engineer – NPU Firmware & AI Acceleration
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is looking for an Embedded software engineer to join our growing team. As a key contributor you will be part of a team to drive and enhance AMD’s abilities to deliver the highest quality, industry-leading technologies to market. THE PERSON: The ideal candidate will have industry experience in embedded domain, possesses an innovative and problem-solving mindset, has a keen eye for Software engineering development, and is diligent and passionate about Technology. A successful candidate will need to employ strong knowledge in computer technologies, leadership skills in technical areas, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators. KEY RESPONSIBILITIES: - Develop and drive execution of comprehensive, highly effective software for sophisticated new technology and new product introduction projects - Validate new SW features before releasing them to customers - Implementing the features in software to enable inferencing ML workload on NPU - Debug and fix the application, firmware and the driver for ML applications running on NPU - Collaborate closely with multiple teams to deliver key planning solutions and the technology to support them - Help contribute to the design and implementation of future architecture for a highly scalable, durable, and innovative system - Work very closely with dev teams and Project Managers to drive results PREFERRED EXPERIENCE: - Experience working as an Embedded Software Engineer - Experience working on Embedded Linux and Embedded firmware projects - Expert knowledge and hands-on experience in C, C++ - Solid understanding of object-oriented-design principles - Solid understanding of Software Engineering principles, Data structure, algorithms, Operating Systems concepts and multithread programming - Excellent design and code development skills, familiarity with Linux and modern software tools and techniques for development - Good analytical and problem-solving skills ACADEMIC CREDENTIALS: - Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline This role is not eligible for for Visa sponsorship LI-JG1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Enterprise AI Technical Lead Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The AMD Compute and Enterprise AI Server team builds next-generation server platforms that power the data center of the future, delivering industry-leading EPYC and Instinct products with unmatched performance, quality, and reliability. We are seeking a Lead System Engineer (LSE) to own end-to-end platform validation — driving execution from architecture alignment through post-silicon validation, debug, and customer enablement. This role carries program-level technical authority, making critical tradeoffs to ensure our products are delivered on schedule, meet functional and performance targets, and satisfy real-world deployment requirements. THE PERSON: You are a systems-level technical leader who thrives at the intersection of architecture, silicon, firmware, validation, and performance. You bring depth in at least one domain and the ability to rapidly build context across others. In this role, you will drive end-to-end program execution and feature delivery in ambiguity, making informed technical decisions that balance functionality, schedule, performance, and quality. You manage technical constraints, prioritize resources, and oversee test plan execution to ensure timely, high-quality silicon delivery. You work across a global, cross-functional organization—hardware (CPU, GPU, memory, IO, systems), software (firmware, BIOS, OS), architecture, validation, and customer engineering—to align priorities and ensure successful product delivery. KEY RESPONSIBILITIES: - Define program plans to meet product requirements within schedule and scope - Drive platform execution with full accountability for feature readiness, program risks, and delivery outcomes - Develop detailed validation strategy based on program complexity and feature set, ensuring coverage and scalability aligned to customer use cases - Own end-to-end delivery of system features, from architecture intent through validation results and customer use case - Lead cross-functional alignment across Architecture, FW/SW, Validation, and Customer Engineering - Drive post-silicon bring-up, test planning, and execution to meet delivery of sample commitments, validation milestones, and engineering collateral - Define platform configurations, firmware requirements, debug tools, and enablement flows required for system validation - Drive defect prioritization to identify high-impact issues, implement mitigation plans, and drive root cause analysis and resolution - Manage technical constraints and prioritization of program assets and engineering investments - Provide mentorship and technical guidance, fostering growth of early and mid-career engineers PREFERRED EXPERIENCE: - Ability to operate across architecture, silicon, firmware, validation, and performance domains, with depth in at least one - Proven experience leading complex, cross-functional technical programs in post-silicon or system development environments - Strong analytical skills: ability to structure complex problems, extract insights, and drive decisions - Comfort operating in ambiguity and making decisions with incomplete data - Ability to influence and align stakeholders across multiple teams and disciplines without direct authority - Clear executive communication: ability to articulate program status, risks, and tradeoffs to senior leadership - Experience with HW/SW test tools, debug methodologies, defect tracking, and version control systems - Solid understanding of computer architecture, silicon features, and system-level interactions - Experience with Linux and Windows, hypervisors (VMware, KVM, Hyper-V), and system validation environments - Track record of improving validation coverage, execution efficiency, or overall product quality ACADEMIC CREDENTIALS: - Bachelor’s Degree (BS) in Electrical Engineering, Computer Engineering, Computer Science, or related field - Master’s Degree (MS) preferred This role is not eligible for visa sponsorship. LI-LB1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Staff Software Development Engineer- GPU/AI...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. WHY AMD At AMD, we build products that accelerate next-generation computing—from AI and data centers to PCs, gaming, and embedded systems. Progress here comes from bold ideas, strong execution, and people who care about hard problems. This role sits at the center of that mission: making AMD the platform of choice for the most demanding AI workloads by improving how models train, align, and run on our GPUs. THE OPPORTUNITY We're looking for a senior software engineer who combines deep systems performance work with modern AI—someone who can shape software from GPU kernels through distributed training and inference. You'll join a core team of specialists working on the latest AMD hardware and software. Your work will directly influence the ROCm ecosystem and how foundation models and agentic systems perform on AMD GPUs. The challenge: Help train and run AI systems that make AI itself more efficient on GPUs—tuning stacks, kernels, and workflows in ways that can materially shift what's possible on our hardware. This is a high-impact, hands-on role. You'll own hard technical problems, influence direction across teams, and mentor others as we scale AMD's AI software strategy. WHAT YOU'LL DO - Own the AI software stack: Establish best practices and drive performance from low-level GPU kernels to large-scale distributed systems. Use modern LLMs and agent-based tooling where it accelerates development and tuning of the ROCm ecosystem. - Accelerate foundation models and agents: Improve training, post-training, and inference for LLMs and autonomous AI workloads so AMD is the default platform for the most demanding use cases. - Co-design hardware and software: Partner on the full lifecycle—from GPU architecture input to software for new accelerators—and engage with the broader AI community to keep AMD at the forefront. WHAT WE'RE LOOKING FOR We need someone who can go deep in the areas below and collaborate effectively. SYSTEMS & GPU PERFORMANCE (KERNEL ENGINEERING) - Expert-level modern C++ and design of large, performance-critical systems. - Strong grasp of GPU architecture, memory hierarchy, and kernel optimization (HIP/CUDA). - Hands-on delivery on large-scale C++/HIP/CUDA codebases, such as ROCm (rocBLAS, hipDNN, Composable Kernel, AITemplate), the CUDA ecosystem (cuBLAS, cuDNN, CUTLASS, Thrust, CUB, NCCL), and ML framework cores such as PyTorch, TensorFlow, or JAX (C++/HIP/CUDA paths). - Comfort diagnosing bottlenecks with profilers (for example, ROCm Profiler and Nsight) in multi-GPU, distributed settings. AI POST-TRAINING & LLM SYSTEMS - Deep understanding of transformers, attention, and the full model lifecycle. - Hands-on work in alignment and post-training—for example, SFT, RLHF, and GRPO. - Awareness of current LLM trends, including MoE, quantization, speculative decoding, and agentic systems. - Experience optimizing post-training and inference pipelines at scale. PREFERRED BACKGROUND - Substantial professional experience in software development within performance-critical environments. - Extensive HIP/CUDA experience optimizing deep learning and OSS LLM inference/training kernels and operators. - Strong technical ownership and a track record of shipping complex systems. - Clear communication and influence across teams. - Plus: Deep familiarity with the AMD ROCm/HIP ecosystem. - Plus: Working knowledge of RTL design and Verilog/SystemVerilog for hardware–software co-design. EDUCATION - Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. - Master's preferred; PhD a plus. - Publications in AI/ML, GPU computing, or systems optimization are valued. LI-AG2 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Product Manager –AI/ML Inference Software
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is seeking a Senior Product Manager to drive strategy and execution for ROCm, AMD’s open-source GPU software stack, with a specific focus on large-scale model inference on AMD Instinct™ and Radeon™ hardware. This is a key, central role sitting at the intersection of the open-source community, high-performance computing, and production AI deployment. You will join a small but focused team of product managers whose shared remit is inference at scale and the frameworks that enable it. You will influence engineering roadmaps, represent AMD in open-source communities and at conferences, and connect the needs of AMD’s most strategic customers with the direction of the open-source ecosystem. AMD’s customers include some of the organizations deploying and serving the largest language models in the world. THE PERSON: You are a technically fluent product leader with deep roots in GPU computing, open-source software, and AI inference infrastructure. You thrive on moving fast in a community-driven environment while also navigating the nuanced requirements of enterprise-scale customers. You are as comfortable reading a GitHub issue thread as you are presenting a roadmap to a VP of Engineering at a hyperscaler. KEY RESPONSBILITIES: Product Strategy & Roadmap - Own the product roadmap for ROCm’s inference software capabilities, including integrations with key frameworks like PyTorch and JAX, serving runtimes like vLLM and SGLang, and the libraries and profiling tools that make inference workloads perform well on AMD hardware. - Define and communicate a coherent strategy for how AMD software enables production inference workloads, covering the full range from single-GPU to rack-scale deployments, with a focus on developer experience, performance portability, and competitive standing. - Identify when emerging OSS model architectures, serving runtimes, or inference techniques require an AMD software response and drive those requirements into the roadmap. - Bring a strategic lens to inference by continuously evaluating the latest research, technology trends, and evolving deployment needs, ensuring the organization stays ahead of future inference requirements and translates market signals into actionable product strategy. Open-Source Community Engagement - Serve as AMD’s active presence in the open-source AI/ML community: monitor GitHub repositories, Discord servers, developer blogs, and academic papers to track emerging trends, pain points, and opportunities. - Own and communicate AMD’s open-source software roadmap, publishing updates across key community projects to build awareness, solicit feedback from model developers and researchers, and signal AMD’s long-term direction to the open-source ecosystem. - Build and maintain relationships with key OSS maintainers, foundation working groups, and community contributors whose work shapes how AMD hardware is perceived and adopted. - Represent AMD at major conferences such as SC, PyTorch Conference, and MLSys; write and review technical blog posts and community announcements on the AMD ROCm blog. Engineering Partnership & Execution - Partner with engineering leads across inference libraries, kernel, runtime, and serving integration teams to translate developer and customer needs into prioritized engineering work. - Drive release planning across rapid release cadences with a CI/CD-first mindset and strong attention to compatibility, regression, and ecosystem readiness. - Provide software-informed feedback to hardware teams on future GPU architecture decisions, particularly where features relevant to inference workloads affect serving performance at scale. Customer & Partner Engagement - Balance the signal from large customers, who may need specific optimizations or bespoke integrations, against the needs of the broader open-source community, who value standards, portability, and low friction. - Collaborate with ecosystem partners such as Hugging Face, Red Hat, and cloud providers on joint integrations and AMD-supported software solutions. PREFERRED EXPERIENCE: - Proven years of product management experience in a software-focused role, ideally developer tools, GPU computing, or AI/ML infrastructure. - Deep familiarity with at least one of PyTorch, JAX, or Triton: how they are structured, how they dispatch work to hardware backends, and what the end-to-end developer experience looks like. - Practical understanding of LLM inference, including attention mechanisms, KV cache design, quantization strategies such, continuous batching, speculative decoding, and parallel serving across multiple GPUs. - Hands-on familiarity with GPU programming at some level, whether HIP, CUDA, or Triton kernels, with the ability to read kernel-level code and benchmark output even if not writing it day to day. - Strong written communication skills across technical documentation, roadmap narratives, community blog posts, and executive-facing strategy documents. - Prior experience at a GPU vendor, cloud provider AI infrastructure team, or frontier AI lab. - Experience contributing to or managing products in an open-source context: GitHub workflows, community governance, and OSS release management. - Contributions in code, issues, or documentation to major open-source inference projects such as vLLM, SGLang, Triton, or PyTorch. - Familiarity with AMD’s hardware portfolio: Instinct MI-series for data center compute and Radeon for workstation and consumer GPU compute. ACADEMIC CREDENTIALS: - Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field. Advanced degree a plus but not required given equivalent experience. LOCATION: - Bay Area · Austin · Remote This role is not eligible for visa sponsorship. LI-EV1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Portfolio Marketing Manager
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE At AMD, we are shaping the future of AI and high-performance computing. As Enterprise End Customers and Digital Native companies evaluate how to build, deploy, and scale AI, they need clear, credible stories that explain what infrastructure matters, why it matters, and how AMD can help. The AI Infrastructure Messaging Manager will own the audience-facing expression of AMD’s AI infrastructure narrative for Enterprise End Customer and Digital Native audiences. This role translates product capabilities, benchmarks, specifications, software advances, AI model trends, and customer use cases into clear, differentiated stories that can be used in campaign narratives, sales decks, Events, launches, keynotes, customer presentations, partner content, and press or analyst materials. This is not a traditional campaign execution role. This person develops the audience-ready narrative that helps AMD’s product proof points, solution context, market trends, and campaign themes come together in a clear, credible, and compelling way. THE PERSON You are a strategic storyteller with strong product instincts, technical curiosity, and market awareness. You can simplify complex technology without losing credibility and are comfortable engaging with product and technical teams on GPUs, CPUs, AI workloads, software, benchmarks, and platform differentiation. You stay close to AI market trends, including frontier model builders, open-source models, developer behavior, and how Enterprise and Digital Native customers are evaluating and adopting AI. You have hands-on familiarity with AI models and workloads that run on AMD Instinct GPUs or competitive equivalent GPU platforms, and you understand how customers think about model performance, software readiness, deployment flexibility, infrastructure requirements, and time to value. You can work quickly with incomplete inputs, ask the right questions, and iterate under tight timelines. You also know how to use modern AI tools to accelerate messaging, research synthesis, content development, and narrative refinement. KEY RESPONSIBILITIES - Own the audience-facing expression of AMD’s AI infrastructure narrative for Enterprise Customer and Digital Native audiences - Translate product inputs, benchmarks, specifications, software capabilities, roadmap themes, AI model trends, and customer use cases into clear, audience-relevant stories - Develop campaign narratives, sales deck narratives, keynote storylines, launch messaging, customer presentations, briefing materials, and partner-facing messaging - Build stories that connect AMD GPUs, CPUs, software, systems, and ecosystem capabilities to AI workload requirements, customer needs, and market trends - Stay current on AI trends, including frontier models, open-source model adoption, developer needs, enterprise AI deployment patterns, and digital native infrastructure choices - Partner across product, engineering, competitive, sales, PR, AR, partner marketing, and campaign teams to ensure narratives are accurate, differentiated, and usable - Work in a fast-paced dynamic environment, successfully meeting tight deadlines while maintaining high standards for clarity and quality - Use AI tools to accelerate messaging development, research synthesis, content iteration, and audience adaptation PREFERRED EXPERIENCE - Experience in B2B, enterprise, datacenter, cloud, AI, semiconductor, infrastructure, or other technical technology markets - Strong background in strategic messaging, technical storytelling, content strategy, sales enablement, or go-to-market narrative development - Ability to translate complex technical concepts into clear, customer-focused value propositions - Understanding of AI infrastructure, including GPUs, CPUs, software stacks, datacenter systems, cloud infrastructure, and enterprise AI use cases - Knowledge of current AI trends, including frontier model builders, open-source models, developer ecosystems, enterprise AI adoption, and digital native deployment patterns - Hands-on familiarity with AI models and workloads that run on AMD Instinct GPUs or competitive equivalent GPU platforms strongly preferred - Ability to interpret benchmarks, specifications, workload performance, TCO claims, and platform capabilities - Experience developing sales decks, campaign narratives, keynote storylines, launch content, customer presentations, analyst materials, or press narratives - Proven ability to iterate quickly with limited information and deliver high-quality work under tight timelines - Demonstrated use of AI tools to support messaging, content development, research synthesis, and narrative refinement ACADEMIC CREDENTIALS - Bachelor’s degree in Marketing, Business, Communications, Engineering, Computer Science, or a related field preferred. LOCATION - Austin, TX or Santa Clara, CA This role is not eligible for visa sponsorship. LI-SD1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Test Engineering Technician – AI Data Cente...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: Our team is currently seeking a Test Engineering Technician for our lab developing new, cutting-edge GPU technology who can drive the local execution of standardized workflows. You will work closely with cross-functional teams within the Services and Engineering organizations. THE PERSON: You bring a wide range of abilities and skills to the table, including semiconductor chip technology knowledge and strong experience in a lab environment. Your approach is collaborative and you shine in teamwork, relationship building, and supporting diverse internal customers across organizations and functions working both independently and within a team. You balance strong technical skills including server hardware, racks, IT, cabling management, X-ray scopes, and work at the component level with strong interpersonal and communications skills. You are known as analytical and highly attentive to detail, self-motivated and as a positive, humble ‘results driven’ team player. You are committed to meeting deadlines, and bring enthusiasm to fast-paced, multi-project situations. KEY RESPONSIBILITIES: - Manage server upgrades, repairs, automated OS provisioning process, and rebuild projects as required, often working with Services and Engineering teams. - Install, configure, troubleshoot, and maintain various server and coolant platforms. - Performs diagnostics and troubleshooting following standard procedures. - Follow procedures to communicate, report, and escalate incidents to appropriate AMD Leadership - Reliability Testing, including setting up and executing a variety of environmental and mechanical stress tests according to defined protocols (shock and vibration, EMCI, Temp Cycling and more) - Foster a positive team environment by sharing information, participating in meetings, asking questions, and staying informed on team updates. - Ability to lift up to 35 pounds, safely climb ladders, wear personal protective and ESD gear correctly, and stand and walk throughout the facility for extended periods without loss or reduction of productivity. PREFERRED EXPERIENCE: - Previous hands on experience testing and troubleshooting semiconductor GPUs, switches, and CPUs in a data center lab environment. - Previous experience with leading Technicians - Experience with MS Excel, Word, PowerPoint, and Pivot Tables - Demonstrated effective and collaborative communication and teamwork experience. - Experience and ability to work autonomously or collaboratively within a team environment to support Lab teams, Engineering, and Services - Surface Mount Technology (SMT) soldering and repair on multilayer PCBs - Inspection of solder joints using microscopy and X-ray microscopes - Work with lab tools (e.g.: diagnostics, tests, and standard semiconductor industry hardware and software) - Experience with Windows Server OS - Experience with Linux PXE services a plus - High attention to detail, and commitment to safety, quality, and continuous improvement ACADEMIC CREDENTIALS: - Associate degree in computer science, computer engineering, Information technology or equivalent experience preferred. - CompTIA A+ or equivalent experience. - CompTIA Server+ or equivalent experience. - Windows OS experience. - MCP/MSCE certification preferred. - Scripting experience preferred – PowerShell, Python, Bash. Location: Secaucus, NJ 1st shift from M-F, 9:00am – 6:00pm ET or 2 nd shift from 2:30pm – 11:00pm ET. This role is not eligible for visa sponsorship. LI-TL1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Research Scientist - Infrastructure Engineer, R...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are hiring a AI Research Scientist - Infrastructure Engineer, Reinforcement Learning , to own reinforcement learning infrastructure at scale—including distributed policy and value training, rollout generation, logging, checkpointing, and researcher‑facing APIs across large GPU fleets. You make RL scientists productive by improving throughput, fault tolerance, reproducibility, and observability—turning fragile notebooks into reliable systems that RSI, generalizing-HW, and RL research programs depend on. THE PERSON: You profile before you optimize; you treat researcher time as expensive as GPU time. You communicate SLAs, capacity plans, and incident patterns clearly and partner on cost–quality tradeoffs. KEY RESPONSIBILITIES: - Design and implement distributed RL training stacks (data parallel, pipeline parallel, or hybrid) integrated with AMD’s schedulers and storage - Build high-throughput rollout workers, trajectory stores, and reward computation pipelines with versioning and audit trails - Instrument jobs for debugging (NaNs, stragglers, OOMs), implement autoscaling and preemption-safe checkpointing - Collaborate with research scientists on experiment templates, hyperparameter sweeps, and safe promotion paths from research to wider team use - Drive reliability: on-call rotations, runbooks, and postmortems for infra incidents affecting RL training PREFERRED EXPERIENCE: - Strong systems track record in machine learning (ML) platforms with deep systems expertise and demonstrated technical impact. - Deep experience with PyTorch (or JAX), NCCL/MPI-style distributed training, and GPU cluster orchestration - Prior ownership of RL training infra, LLM post-training pipelines, or large-scale experiment management - Proficiency in C++/Python performance tuning, I/O optimization, and containerized workloads ACADEMIC CREDENTIALS: - Bachelor’s degree required; Master’s or PhD preferred in Computer Science for research-heavy collaboration depth is preferred. LI-BM1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Research Scientist, Reinforcement Learning (LLM...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are hiring a Lead AI Research Scientist, Reinforcement Learning (LLM) and Post-Training , specializing in reinforcement learning to advance post-training and interactive learning for large generative models applied to demanding engineering and hardware-adjacent tasks (code, optimization, tool use, and long-horizon decision making). You will invent and analyze RL algorithms—policy optimization, preference-based methods, exploration, credit assignment, and reward modeling—run rigorous empirical studies, and partner with infra and product teams to land methods that improve measurable task success without sacrificing stability or safety. THE PERSON: You publish and ship. You are fluent in both RL theory and the practical path from ablation to production-scale training. You care about reward misspecification, variance reduction, and evaluation that reflects real constraints—not only toy environments. KEY RESPONSIBILITIES: - Research and develop RL methods for post-training LLMs and code models on structured engineering tasks with verifiable or preference-based feedback - Design reward models, curricula, and off-policy or on-policy training recipes suited to sparse, noisy, or expensive labels from experts and simulators - Characterize failure modes (reward hacking, degenerate policies, instability) and propose mitigations grounded in experiments - Collaborate with RL infra engineers to scale training; define interfaces for rollout generation, logging, and reproducibility - Publish at top venues (e.g. NeurIPS, ICML, ICLR) and contribute internal technical leadership on the RL roadmap PREFERRED EXPERIENCE: - Strong publication record in reinforcement learning or closely related machine learning areas. - Hands-on experience training RL or preference-optimized models at non-trivial scale (GPUs, distributed jobs) - Experience with LLM post-training, RLHF/RLAIF, or policy optimization for language or code agents - Familiarity with compilers, kernels, EDA-style workflows, or large-scale codebases is a plus ACADEMIC CREDENTIALS: - PhD in Computer Science, Machine Learning, or related field strongly preferred. LI-BM1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Research Scientist, Recursive Self Improvement,...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are hiring an AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning focused on recursive self-improvement (RSI) in a bounded, engineering-first sense: systems where models, data generators, or toolchains participate in improving their own training signals, curricula, or verification—always under explicit governance, kill switches, and human oversight. You will research when such loops help (e.g. synthetic data quality, targeted self-play, automated curriculum refinement) versus when they amplify bias or reward hacking, and you will design measurement and containment so RSI-style pipelines remain auditable and safe for AMD’s AI-for-HW and generative-AI programs. THE PERSON: You are skeptical by default but constructive: you formalize assumptions, bound autonomy, and insist on counterfactual evaluation. You connect RSI concepts to concrete metrics—data efficiency, robustness, regression rates—not open-ended capability claims. KEY RESPONSIBILITIES: - Research self-improving training loops: model-generated supervision, iterative distillation, self-critique, and automated curriculum updates with clear scope limits - Develop theory- and systems-grounded evaluations for capability drift, Goodhart effects, and distributional shift in closed-loop training - Partner with RL scientists on where RSI-style objectives intersect policy optimization and preference learning - Define red-team protocols and monitoring for RSI pilots; document rollback criteria before experiments touch shared infrastructure - Publish or produce technical reports where appropriate; align internal narrative with responsible deployment standards PREFERRED EXPERIENCE: - Strong background in machine learning (ML), AI safety, reinforcement learning, or a related field, with publications or substantial work in iterative training, self-training, or open-ended learning. - Experience with empirical safety evaluation, scalable oversight, or stress-testing of generative model training pipelines - Strong software skills for building controlled experimental harnesses and reproducible RSI microcosms ACADEMIC CREDENTIALS: - PhD in Computer Science, Machine Learning, or related field strongly preferred. LI-BM1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Research Scientist, Hardware AI Systems
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are hiring a AI Research Scientist, Hardware AI Systems , to develop AI systems that generalize across hardware engineering contexts, different SoC programs, toolchains, process nodes, and teams, without bespoke retraining for every program. You will work on metareasoning (when to call which tool or simulator), representation learning across flows (RTL, verification, physical design), and learning under high- or mixed-latency rewards typical of silicon signoff. You partner with methodology and silicon teams to turn one-off wins into reusable models, benchmarks, and transfer protocols that compound across AMD’s roadmap. THE PERSON: You think in distribution shift, domain adaptation, and structured priors—not only bigger models. You respect domain experts and treat their time and signoff criteria as first-class constraints in problem formulation. KEY RESPONSIBILITIES: - Research transfer and multi-task learning for engineering agents across IP blocks, tools, and program generations - Develop metareasoning policies for budgeting expensive EDA steps, selecting abstractions, and recovering from tool or data failures - Build cross-program benchmarks and datasets that expose generalization gaps and track progress over time - Collaborate with RL scientists on reward shaping and credit assignment when feedback is slow or heterogeneous - Publish at top venues where appropriate; maintain internal technical standards for “generalization claims” backed by evidence PREFERRED EXPERIENCE: - Deep technical expertise and proven research experience in machine learning (ML), with emphasis on transfer learning, meta-learning, intelligent agents, and long-horizon reinforcement learning (RL). - Exposure to hardware development (RTL, verification, PD, or bring-up) or willingness to ramp with embedded experts - Experience with Large Language Models (LLM) tool use, planning, or hierarchical control in real toolchains ACADEMIC CREDENTIALS: - PhD in Computer Science, Machine Learning, or related field strongly preferred. LI-BM1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Principal Open Source AI/ML Solutions Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Principal Open Source AI/ML Solutions Engineer THE GROUP : AI is defining the next era of computing, and this is just the beginning. We see the benefits of AI every day—enabling medical research, curbing credit card fraud, reducing congestion in cities, or simply making life easier. In the ever-evolving landscape of artificial intelligence, we are a powerhouse – a cutting-edge 'AI Open Software Solutions Team'. Specialized in AI optimization, fine-tuning large language models to unlock unprecedented Generative AI efficiency. Our team has an unparalleled perspective of the AI landscape. Our expertise extends beyond the hardware realm, encompassing library enablement, where we develop custom AI Open Software Solutions for Industry leading AI customers. As part of our team, you will be among the first in the world to combine the newest hardware with the industry’s latest applications, libraries, frameworks, and SDKs to push the limits of innovation and solve the world’s most complex challenges. We work with the industry’s most sophisticated clients to help them leverage the latest hardware capabilities for their AI use cases. Position Overview: Senior Member – GPU Domain The Senior Member in the GPU domain is a technical role responsible for owning the design, development, and implementation of GPU-related technologies. This position requires a strong understanding of GPU architecture and software development, with the ability to drive innovation in high-performance computing applications. You will develop and optimize the software ecosystem for the next generation of GPU computational accelerators, working closely with platforms like https://github.com/ROCm/ROCm Key Responsibilities: - Architectural Design : Own architectural design and development of GPU software components, ensuring alignment with industry standards and best practices. - Technical Leadership : Act as one of the subject matter experts in GPU technologies, providing guidance and mentorship to junior engineers in the team on complex technical challenges. - Software Development : Design, write, and deliver high-quality open software solutions that enhance GPU performance and capabilities. This includes developing drivers, APIs, and other critical software components. - Research and Innovation : Conduct research to explore new technologies and methodologies that can improve GPU performance and efficiency. Propose innovative solutions to meet evolving market demands. - Collaboration : Work collaboratively with cross-functional teams, including hardware engineers, system architects, and product managers, to ensure successful integration of GPU technologies into broader systems. - Documentation and Standards : Develop comprehensive technical documentation and establish coding standards to ensure maintainability and scalability of software products. EXPERIENCE - Must have : - Strong C++ and Python programming skills. - Performance analysis skills for both CPU and GPU - Good knowledge of AI/ML Frameworks and Architecture - Basic GPU kernel programming knowledge - Experience with software engineering methodologies such as Agile, Scrum, Kanban. - Experience in all the phases of software development, from requirement gathering, analysis, design, development, testing to final release. - Experience developing software in an end customer product delivery environment. - Experience with open-source software development including collaboration with community maintainers and submitting contributions. - Excellent analytical and problem-solving skills. - Strong communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders. - Ability to work independently and as part of a team. - Willingness to learn skills, tools, and methods to advance the quality, consistency, and timeliness of AMD software products. EXPERIENCE - Good to have : - Experience with GPU kernel programming using CUDA, HIP or OpenCL. - Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI) - Experience in PyTorch, TensorFlow, JAX. - Experience with Singularity, Docker, and/or Kubernetes. QUALIFICATIONS: - BE / B-Tech with several years of related experience or M-Tech with years of related experience or PhD with years of related experience in Computer Science or Computer Engineering or related equivalent. Overall 18+ years of experience LI-PK1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Automation Design Packaging Lead
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are looking for a forward-thinking candidate to drive and lead the team for the development and deployment of next-generation packaging design automation and AI-Driven workflows. You will focus on accelerating the design of advanced heterogeneous integration technologies, specifically substrates, organic interposers, and bridge interconnects. AMD's environment is fast-paced, results-oriented, and built upon a legion of innovators with a passion for winning technology. THE PERSON: The successful candidate must be a proven leader and a technical innovator who can bridge the gap between physical design requirements and software automation to generate AI driven workflows. He or she must have a drive for solutions and an aptitude to thrive in a multi-tasking environment, translating complex design challenges into scriptable, scalable workflows. They should possess excellent cross-functional collaboration skills to work between Design, EDA, and AI teams, with good executive presentation skills. Demonstrating strong technical leadership to excel in his/her work with minimum supervision and a strong interest in growing within the technical or management ladder. KEY RESPONSIBILITIES: - Drive the development, deployment, and maintenance of AI workflows for Substrate, Interposer, and Silicon Bridge design methodologies. - Deploy AI/ML methodologies to optimize critical design stages, including auto-routing, component placement, and signal integrity optimization. - Collaborate with EDA vendors and internal stakeholders to define and implement next-generation feature roadmaps for 2.5D and 3D packaging. - Lead the transition from manual design practices to "Agentic" and algorithmic design operational models. - Coordinate with electrical and mechanical analysis teams to build closed-loop optimization systems that feed simulation results back into design construction. - Prepare & present Executive Summaries of automation ROI, efficiency gains, and tool capability advancements. - Coordination of activities within/external teams to deliver critical design tape-outs and methodology milestones. - Mentoring junior engineers in coding best practices and advanced packaging concepts. PREFERRED EXPERIENCE: - Strong knowledge of EDA packaging design tools (Cadence APD/SIP, Siemens Xpedition, or Synopsys 3DIC/Compiler). - Proven track record of developing automation using Python, Tcl, SKILL, or C++. - Experience with applying AI/ML frameworks (PyTorch, TensorFlow, etc.) to engineering or design problems. - Familiarity with Advanced Packaging architectures (2.5D/3D, Chiplets, Fan-Out, Hybrid Bonding). - Familiar with design verification flows (DRC/LVS) and electrical extraction concepts. - Good leadership and interpersonal skills. ACADEMIC CREDENTIALS: - Bachelor/MS degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with relevant packaging experience. This role is not eligible for visa sponsorship. LI-HYBRID LI-AP1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Portfolio Marketing Manager
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE At AMD, we are shaping the future of AI and high-performance computing. As Enterprise End Customers and Digital Native companies evaluate how to build, deploy, and scale AI, they need clear, credible stories that explain what infrastructure matters, why it matters, and how AMD can help. The AI Infrastructure Messaging Manager will own the audience-facing expression of AMD’s AI infrastructure narrative for Enterprise End Customer and Digital Native audiences. This role translates product capabilities, benchmarks, specifications, software advances, AI model trends, and customer use cases into clear, differentiated stories that can be used in campaign narratives, sales decks, Events, launches, keynotes, customer presentations, partner content, and press or analyst materials. This is not a traditional campaign execution role. This person develops the audience-ready narrative that helps AMD’s product proof points, solution context, market trends, and campaign themes come together in a clear, credible, and compelling way. THE PERSON You are a strategic storyteller with strong product instincts, technical curiosity, and market awareness. You can simplify complex technology without losing credibility and are comfortable engaging with product and technical teams on GPUs, CPUs, AI workloads, software, benchmarks, and platform differentiation. You stay close to AI market trends, including frontier model builders, open-source models, developer behavior, and how Enterprise and Digital Native customers are evaluating and adopting AI. You have hands-on familiarity with AI models and workloads that run on AMD Instinct GPUs or competitive equivalent GPU platforms, and you understand how customers think about model performance, software readiness, deployment flexibility, infrastructure requirements, and time to value. You can work quickly with incomplete inputs, ask the right questions, and iterate under tight timelines. You also know how to use modern AI tools to accelerate messaging, research synthesis, content development, and narrative refinement. KEY RESPONSIBILITIES - Own the audience-facing expression of AMD’s AI infrastructure narrative for Enterprise Customer and Digital Native audiences - Translate product inputs, benchmarks, specifications, software capabilities, roadmap themes, AI model trends, and customer use cases into clear, audience-relevant stories - Develop campaign narratives, sales deck narratives, keynote storylines, launch messaging, customer presentations, briefing materials, and partner-facing messaging - Build stories that connect AMD GPUs, CPUs, software, systems, and ecosystem capabilities to AI workload requirements, customer needs, and market trends - Stay current on AI trends, including frontier models, open-source model adoption, developer needs, enterprise AI deployment patterns, and digital native infrastructure choices - Partner across product, engineering, competitive, sales, PR, AR, partner marketing, and campaign teams to ensure narratives are accurate, differentiated, and usable - Work in a fast-paced dynamic environment, successfully meeting tight deadlines while maintaining high standards for clarity and quality - Use AI tools to accelerate messaging development, research synthesis, content iteration, and audience adaptation PREFERRED EXPERIENCE - Experience in B2B, enterprise, datacenter, cloud, AI, semiconductor, infrastructure, or other technical technology markets - Strong background in strategic messaging, technical storytelling, content strategy, sales enablement, or go-to-market narrative development - Ability to translate complex technical concepts into clear, customer-focused value propositions - Understanding of AI infrastructure, including GPUs, CPUs, software stacks, datacenter systems, cloud infrastructure, and enterprise AI use cases - Knowledge of current AI trends, including frontier model builders, open-source models, developer ecosystems, enterprise AI adoption, and digital native deployment patterns - Hands-on familiarity with AI models and workloads that run on AMD Instinct GPUs or competitive equivalent GPU platforms strongly preferred - Ability to interpret benchmarks, specifications, workload performance, TCO claims, and platform capabilities - Experience developing sales decks, campaign narratives, keynote storylines, launch content, customer presentations, analyst materials, or press narratives - Proven ability to iterate quickly with limited information and deliver high-quality work under tight timelines - Demonstrated use of AI tools to support messaging, content development, research synthesis, and narrative refinement ACADEMIC CREDENTIALS - Bachelor’s degree in Marketing, Business, Communications, Engineering, Computer Science, or a related field preferred. LOCATION - Austin, TX or Santa Clara, CA This role is not eligible for visa sponsorship. LI-SD1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Physical AI Computer Vision Engineer - Auto...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE TEAM Our Physical AI team is building the intelligent software that enables machines to perceive, understand, and interact with the physical world. By combining embedded computing, real-time software, computer vision, AI, adaptive SoCs, and high-performance edge platforms, we develop next-generation solutions powering robotics, industrial automation, autonomous systems, machine vision, automotive, and emerging AI-driven applications. Working at the intersection of AI, embedded systems, and heterogeneous computing, our team transforms AMD technologies into intelligent, real-world solutions that accelerate the future of Physical AI. THE ROLE We are seeking a Senior Physical AI Software Engineer to develop next-generation software for intelligent edge systems that combine embedded computing, real-time processing, computer vision, and AI. In this role, you will design, develop, and optimize software that enables machines to perceive, analyze, and respond to their environments with deterministic, low-latency performance. You will build software spanning embedded Linux and RTOS platforms while integrating AI inference, computer vision, sensor processing, and real-time control across AMD's embedded computing portfolio. Working closely with software, AI, FPGA, silicon, and systems engineers, you will help deliver scalable Physical AI solutions for robotics, industrial automation, automotive, machine vision, aerospace, and other intelligent edge applications. This position provides an opportunity to work across the complete software stack—from low-level platform software through AI-enabled applications—leveraging heterogeneous computing architectures including CPUs, GPUs, FPGAs, and dedicated AI accelerators. THE PERSON You are passionate about building software that bridges embedded systems, AI, and real-world intelligent machines. You thrive solving complex engineering challenges involving real-time processing, perception, and system optimization. You enjoy working across multidisciplinary teams and are comfortable developing software that spans embedded Linux, RTOS, computer vision, AI inference, and heterogeneous computing architectures. You are driven by performance, scalability, and delivering robust software that powers next-generation intelligent systems. KEY RESPONSIBILITIES: - Design, develop, and maintain embedded software for AI-enabled edge computing platforms. - Develop software for Linux and Real-Time Operating Systems (RTOS) supporting deterministic, low-latency execution. - Design and implement real-time software for perception, sensor processing, control, and autonomous decision-making. - Develop and integrate computer vision, image processing, and AI inference applications for real-world deployment. - Build and optimize high-performance image, video, and sensor processing pipelines. - Optimize software across heterogeneous computing architectures including CPUs, GPUs, FPGAs, and AI accelerators. - Collaborate with AI, FPGA, hardware, systems, and platform teams to deliver integrated Physical AI solutions. - Support platform bring-up, debugging, validation, and system integration. - Analyze and optimize latency, throughput, memory utilization, power efficiency, and overall system performance. - Contribute to software architecture, technical documentation, coding standards, and engineering best practices. - Develop demonstrations, reference applications, and customer enablement solutions showcasing AMD embedded technologies. PREFERRED EXPERIENCE: - Experience with RTOS platforms such as QNX, GreenHills, or similar real-time operating systems. - Experience designing software for low-latency, safety-critical, or time-sensitive embedded applications. - Experience with AMD Vitis™ AI or equivalent AI deployment frameworks. - Experience with AMD Ryzen™ Embedded, EPYC™ Embedded, Versal™ AI Edge, Zynq UltraScale+, Kria™, or similar edge computing platforms. - Understanding of FPGA-based acceleration and hardware/software co-design methodologies. - Experience with AI inference deployment using ONNX, PyTorch, TensorFlow, or related frameworks. - Experience with ROS 2 and robotics software architectures. - Understanding of perception systems including cameras, radar, lidar, and sensor fusion technologies. - Familiarity with graphics and visualization technologies such as OpenGL, Vulkan, or Wayland. - Experience with Linux kernel, BSP, device driver, or low-level platform software development. - Understanding of heterogeneous computing architectures combining CPUs, GPUs, FPGAs, and dedicated AI accelerators. - Experience with performance profiling, optimization, and benchmarking on multicore systems. - Knowledge of networking, middleware, and distributed edge computing systems. - Experience within robotics, automotive, industrial automation, aerospace, machine vision, or related embedded systems domains. LOCATION: Austin, TX Novi, MI San Jose, CA This role is not eligible for visa sponsorship. LI-BW2 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Director Legal, Procurement, Strategic Supply & AI...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE AMD is looking for a business-minded commercial attorney to lead three critical areas of work: direct procurement, strategic capacity reservation and supply assurance, and data center backstop transactions that support AMD’s AI infrastructure growth. In this role, you will be the lead lawyer on agreements used to secure the components, materials, manufacturing services, capacity commitments, and data center resources that support AMD’s products and platforms. You will partner closely with Procurement, Supply Chain, Operations, Data Center, Finance, and Technology teams to turn complex business arrangements into clear, practical, and executable contracts. This is a high-visibility role requiring strong judgment, commercial pragmatism, and the ability to balance risk with the speed of the business. THE PERSON You are a confident, practical deal lawyer with significant buy-side experience negotiating agreements for physical goods, components, manufacturing, capacity, and infrastructure. You bring strong business judgment, executive presence, and the ability to stay organized and effective under pressure. You can lead several high-stakes transactions at once, with particular strength in direct procurement and strategic supply arrangements, while also supporting the data center and AI infrastructure transactions that are increasingly important to AMD’s growth. KEY RESPONSIBILITIES - Structure, draft, and serve as AMD’s lead legal negotiator for transactions across three core areas: - Direct procurement transactions, including components, materials, assemblies, contract manufacturing, manufacturing services, and product purchase agreements. - Strategic capacity reservation and supply assurance transactions, including multi-year commitments, capacity reservations, prepayment arrangements, and single-source/sole-source supply structures. - Data center backstop and AI infrastructure transactions, including data center capacity, take-or-pay, capacity reservation, and related infrastructure arrangements. - Negotiate major indirect procurement, technology, licensing, and other commercial agreements. - Advise senior leaders on deal strategy, risk, and execution, and independently lead high-impact matters. - Develop templates, playbooks, and practical contracting approaches that help the legal team support the business with speed, consistency, and sound risk management. - Lead, mentor, and develop legal team members and manage outside counsel. PREFERRED EXPERIENCE - Significant commercial legal experience leading complex, high-value transactions independently. - Hands-on direct buy-side procurement experience , including personally negotiating the purchase of components, materials, assemblies, manufacturing services, or other goods and services that support a product, not only IT, software, or general services. - Strategic capacity reservation and supply assurance experience , including multi-year commitments, capacity reservations, prepayment arrangements, and single-source/sole-source supply structures. - Data center backstop, cloud, compute capacity, or AI infrastructure agreement experience , including take-or-pay, capacity reservation, prepayment, or supply assurance arrangements, is a strong differentiator. - Experience in semiconductors, hardware, cloud, data center, contract manufacturing, contract manufacturing, ODM, or foundry environments is a plus, along with strong leadership, negotiation, and communication skills. ACADEMIC CREDENTIALS - J.D. or LL.B. from an accredited law school. - Active membership in good standing with a state or provincial bar. - MBA or equivalent business experience is a strong plus. LOCATION - Austin, Texas LI-SD1 LI-Hybrid This role is not eligible for visa sponsorship. Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Forward Deployed AI Research Scientist
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are hiring Forward Deployed AI Research Scientist to help bring advanced AI capabilities into high-impact engineering and customer-facing workflows. This role combines applied AI research, technical strategy, prototyping, and field-facing collaboration. You will work closely with internal engineering teams and strategic external partners to identify valuable problems, shape them into tractable AI research and engineering efforts, and drive them toward measurable outcomes. The role is designed to scale a technical-business bridge across AMD: translating customer and partner needs into AI research directions, translating AI capabilities into engineering value, and helping teams align on what can be built, measured, and delivered., THE PERSON: You are a research-minded technical leader who can operate in ambiguous, high-stakes environments. You can speak credibly with AI researchers, software engineers, hardware engineers, executives, and partner teams. You are equally comfortable reading papers, shaping experiments, building prototypes, writing crisp technical narratives, and helping stakeholders understand what matters. KEY RESPONSIBILITIES: - Work with internal and external stakeholders to identify high-value AI opportunities in compute, systems, software, and hardware engineering workflows. - Translate partner and customer needs into research questions, technical plans, evaluation criteria, and prototype paths. - Prototype and evaluate modern AI methods for engineering tasks, including agentic workflows, tool use, code generation, debugging, optimization, retrieval, and learning from feedback. - Partner with research and engineering teams to define metrics, evals, benchmarks, and acceptance criteria for AI-assisted workflows. - Build technical narratives, demos, and decision materials that help senior stakeholders understand tradeoffs, progress, risks, and strategic value. - Support strategic deals and collaborations by serving as a credible technical bridge between business goals and AI engineering reality. - Capture recurring customer and partner needs and turn them into reusable insights for product, research, platform, and engineering roadmaps. - Mentor teams on practical AI methods and help raise the quality of AI experimentation, evaluation, and communication across the organization. TECHNICAL FOCUS AREAS: - Applied AI research for engineering workflows where correctness, performance, latency, reliability, and explainability matter. - Agentic systems that use tools, tests, profilers, simulators, validation systems, and structured feedback. - Evaluation design for ambiguous or high-value tasks, including objective graders, human-in-the-loop review, and LLM-as-judge methods where appropriate. - AI systems for code understanding, code generation, optimization, debugging, knowledge retrieval, and workflow automation. - Technical-business translation for strategic customers, partners, engineering leaders, and cross-functional teams. REQUIRED QUALIFICATIONS: - Strong background in AI, machine learning, systems, or applied research, with ability to turn ideas into prototypes and measurable experiments. - Experience with modern generative AI methods, LLMs, agents, tool use, retrieval, post-training, evaluation, or applied ML systems. - Strong programming ability in Python and familiarity with ML frameworks such as PyTorch, JAX, TensorFlow, or similar. - Ability to work with technical stakeholders across software, hardware, infrastructure, research, product, and business teams. - Excellent communication skills, including the ability to explain complex AI and systems topics clearly to both technical and executive audiences. PREFERRED EXPERIENCE: - Experience in forward-deployed engineering, customer engineering, applied research, technical partnerships, solutions architecture, or strategic technical programs. - Experience with GPU systems, CPU performance, compilers, distributed training/inference, hardware/software co-design, or performance engineering. - Experience designing benchmarks, evals, experiment platforms, or metrics for AI systems. - Publications, open-source contributions, technical blogs, demos, or shipped AI systems are a plus. - Familiarity with semiconductor, datacenter, AI infrastructure, or high-performance computing environments is a strong plus. ACADEMIC CREDENTIALS: Bachelor's degree is required preferrably in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or related field, or equivalent practical experience. Master's preferred; PhD is a plus, especially in AI, ML systems, computer systems, GPU computing, or hardware/software co-design. LI-BM1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Principal Enterprise AI/HPC GPU Systems Architect
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is looking for a Enterprise AI/HPC GPU architect to join our Datacenter System Architecture and Engineering team to develop world-class products around Instinct GPUs. In this role you will be engaged with key customers and internal architects, field application teams, and internal stakeholders to define EPYC and Enterprise AI/HPC GPU product and system architecture that require technically analyzing, defining outside-in usage cases, and mapping across a broad spectrum of technologies to ensure a holistic, constrained system spanning Si, platform HW/SW, and usages to deliver the best customer experiences. In this role you will provide a cohesive technical vision of the required end-to-end architecture considering prioritized use cases and the need to scale. THE PERSON: AMD is a semiconductor design innovator leading the next era of digital experiences with its EPYC Roadmap which powers server computing products focused on driving industry-leading cloud computing and virtualization environments. If you have a passion for excellence and a drive to achieve, you belong at AMD. Our employees, AMDer’s as we like to call them, work hard, have fun, and thrive on success. We meet the challenges of an evolving marketplace by staying true to our corporate values, including an unwavering respect for individuals and a focus on retaining superior employees. AMD's environment is fast paced, results oriented and built upon a legion of forward-thinking people with a passion for winning technology. This is an extraordinary opportunity to work in an outstanding company like AMD - Join us! KEY RESPONSIBILITIES: - Server and Enterprise AI/HPC GPU Product and Systems Architecture definition - Architect solutions using AMD Processors, Instinct GPUs, accelerators, Network Components for High-Performance Computing, Server and Mega data center applications and be in the forefront of system hardware innovation. - Closely work with Customer, processor architects, IP and SOC architects, network and IO device architects, application software developers and system software developers, and Business unit to define requirements for products, system and components for best performance, power balance and cost. - Work on research and development of next generation datacenter compute designs to continually improve performance. - Influence the shaping of future products/solutions by significantly contributing to the product and system architecture and technology execution throughout the Datacenter products. - Deep knowledge of product architecture and design including memory, I/O, signal integrity, power integrity, packaging, power delivery, thermal, mechanical, power management, boot process, FW and hardware management. - Proven track record of working with leading technology companies to jointly engineer outstanding products based on new SoCs/CPUs/chipsets. - Establish credibility with both engineering and leadership counterparts at top technology companies, communicate technical results and positions clearly and accurately, and drive alignment on solutions. PREFERRED EXPERIENCE: - Must be a self-starter, and able to independently drive tasks to completion - Demonstrated Server and GPU products expertise by working on multiple projects from architecture, development, design including memory, I/O, power delivery, power management, boot process, FW and BMC/hardware management through bring-up and validation and supported through the release to production. - Detailed understanding of server industry standards such as DDR, PCIe, SATA, and other high-speed IO protocol is required. - Proven track record of Engineering problem solving and pushing boundaries to deliver innovative and differentiating products. - Experience working seamlessly across engineering disciplines and geographies to deliver excellent results. ACADEMIC CREDENTIALS: - Engineering degree in Electrical Engineering, Computer Engineering, or Computer Science with extensive experience. This role is not eligible for visa sponsorship. LI-TB1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Project Manager - Firmware Architecture and AI
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: As a Program Manager for Firmware Architecture and AI initiatives, you will drive end-to-end execution of complex, cross-functional programs spanning firmware architecture, and AI-driven development workflows. This role is responsible for orchestrating delivery across distributed engineering teams, ensuring alignment between architecture, firmware development, validation, and emerging AI-based solutions. You will partner closely with firmware architects, firmware development, validation, and AI innovation teams to enable scalable, high-quality solutions for next-generation server and DC GPU products. A key focus will be driving execution rigor, improving development efficiency through AI-enabled workflows, and ensuring alignment across globally distributed teams. THE PERSON: The ideal candidate has strong program management fundamentals combined with experience in low-level systems software (firmware, drivers, SOC platforms) and exposure to AI/ML-driven engineering workflows. You are comfortable operating in highly matrixed environments, driving alignment without direct authority, and bringing structure to complex, architecture-led initiatives. You have a track record of successfully delivering technically complex programs in fast-paced environments and can effectively bridge gaps between architecture, development, validation, and emerging AI innovation efforts. KEY RESPONSIBILITIES: - Drive execution of firmware architecture for Server and DCGPU initiatives, ensuring alignment across architecture, development, validation, and platform teams - Lead program management for AI-focused initiatives - including dashboard management, scheduling, prioritization, and execution tracking - Establish and maintain scalable program structures, including integrated schedules, dependency mapping, resource forecasting, and risk management - Coordinate cross-functional teams across global locations (North America and Asia) to ensure alignment on deliverables, milestones, and execution priorities - Drive clarity and accountability across architecture-driven workstreams that may span multiple organizations, programs, platforms, and execution teams - Identify execution gaps, risks, and dependencies early; proactively drive mitigation strategies and escalate where necessary - - Develop and maintain dashboards and reporting frameworks that provide clear visibility into program health, readiness, and key metrics - Improve execution efficiency by introducing structured processes, tools, and AI-enabled insights into program tracking and delivery - Facilitate cross-team communication, decision-making, and issue resolution for complex, interdependent technical initiatives PREFERRED EXPERIENCE: - Strong program management experience within systems software, firmware, or SOC/platform development environments - Proven experience managing complex, cross-functional programs with architecture, firmware, and hardware interactions - Familiarity with server platforms, data center GPU architectures, or high-performance computing environments - Experience supporting or driving AI/ML-based engineering initiatives - Demonstrated success operating in matrixed organizations with distributed, global teams - Excellent communication skills with ability to engage both technical and executive stakeholders - Experience with Agile and/or hybrid development methodologies in large-scale engineering programs - PMP certification is preferred ACADEMIC CREDENTIALS: - Master ’s or Bachelor ’s degree in Computer Engineering , Computer Science or Electrical Engineering is desired This role is not eligible for visa sponsorship. LI-AG1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Principal Server and AI Product Architect
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is looking for a Server and AI Product architect to join our Datacenter System Architecture and Engineering team to develop world-class EPYC and Instinct GPU products. In this role you will be engaged with key customers and internal architects, field application teams, and internal stakeholders to define EPYC and Enterprise AI/HPC GPU product and system architecture that require technically analyzing, defining outside-in usage cases, and mapping across a broad spectrum of technologies to ensure a holistic, constrained system spanning Si, platform HW/SW, and usages to deliver the best customer experiences. In this role you will provide a cohesive technical vision of the required end-to-end architecture considering prioritized use cases and the need to scale. THE PERSON: AMD is a semiconductor design innovator leading the next era of digital experiences with its EPYC and Instinct Roadmap which powers computing products focused on driving industry-leading cloud computing, AI/Compute and virtualization environments. If you have a passion for excellence and a drive to achieve, you belong at AMD. Our employees, AMDer’s as we like to call them, work hard, have fun, and thrive on success. We meet the challenges of an evolving marketplace by staying true to our corporate values, including an unwavering respect for individuals and a focus on retaining superior employees. AMD's environment is fast paced, results oriented and built upon a legion of forward-thinking people with a passion for winning technology. This is an extraordinary opportunity to work in an outstanding company like AMD - Join us! KEY RESPONSIBILITIES: - Server and Enterprise AI/HPC GPU Product Architecture definition Architect solutions using AMD Processors, Instinct GPUs, accelerators, Network Components for High-Performance Computing, Server and Mega data center applications and be in the forefront of system hardware innovation. - Closely work with Customer, processor architects, IP and SOC architects, network and IO device architects, application software developers and system software developers, and Business unit to define requirements for products, system and components for best performance, power balance and cost. - Work on research and development of next generation datacenter compute designs to continually improve performance. - Influence the shaping of future products/solutions by significantly contributing to the product and system architecture and technology execution throughout the Datacenter products. - Deep knowledge of product architecture and design including memory, I/O, signal integrity, power integrity, packaging, power delivery, thermal, mechanical, power management, boot process, FW and hardware management. - Proven track record of working with leading technology companies to jointly engineer outstanding products based on new SoCs/CPUs/chipsets. - Establish credibility with both engineering and leadership counterparts at top technology companies, communicate technical results and positions clearly and accurately, and drive alignment on solutions. PREFERRED EXPERIENCE: - St rong analytical/problem-solving skills and pronounced attention to details - Must be a self-starter, and able to independently drive tasks to completion - Demonstrated Server and GPU products expertise by working on multiple projects from architecture, development, design including memory, I/O, power delivery, power management, boot process, FW and BMC/hardware management through bring-up and validation and supported through the release to production. - Detailed understanding of server industry standards such as DDR, PCIe, SATA, and other high-speed IO protocol is required. - Proven track record of Engineering problem solving and pushing boundaries to deliver innovative and differentiating products. - Experience working seamlessly across engineering disciplines and geographies to deliver excellent results. ACADEMIC CREDENTIALS: - Bachelors or M asters degree in electrical or computer engineering This role is not eligible for visa sponsorship. LI-TB1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Machine Learning Data Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: As the Senior ML Data Engineer you will define, design, and drive the development of our next-generation machine learning data infrastructure. This is a highly influential role within the engineering organization, serving as a catalyst for scalable data pipeline design, cross-functional alignment, and ML platform excellence. As a key contributor, you will shape and advance AMD's ML data capabilities, enabling the delivery of high-quality, industry-leading AI technologies to market THE PERSON: You are a seasoned ML Data Engineer with deep expertise in designing and scaling data pipelines and machine learning infrastructure. You combine strong data engineering fundamentals with a solid understanding of ML workflows, thrive in cross-functional environments, and bring the technical depth to architect robust data platforms that accelerate model development and deployment at scale KEY RESPONSIBILITIES: - Define, document, and govern end-to-end ML data architectures, including feature stores, training data pipelines, data lakes, and supporting infrastructure, ensuring alignment with ML roadmaps and business objectives. - Translate ML research, product, and analytics requirements into actionable data architecture designs, including data models, pipeline specifications, feature contracts, and technical design documents. - Evaluate, select, and recommend modern ML data technologies and frameworks (data orchestration, feature engineering tools, storage engines, compute frameworks) to optimize scalability, performance, and cost efficiency. - Drive the design and evolution of core ML data platform components, with strong emphasis on data quality, reproducibility, lineage tracking, and operational reliability. - Act as the technical escalation point for complex ML data issues, providing guidance across ingestion, transformation, feature generation, versioning, and serving layers. - Collaborate cross-functionally with ML engineers, data scientists, platforms, and product teams to drive technical alignment and ensure consistent data standards across model development and deployment workflows PREFERRED EXPERIENCE: - 8+ years of experience in data engineering, ML data infrastructure, or large-scale data platform development, with at least 3 years in a senior or lead engineering role. - Strong expertise in building data pipelines and infrastructure supporting AI/ML workloads, including feature engineering, batch and streaming processing, and training data management. - Hands-on experience with modern ML and data platforms, including cloud-native lake house architectures and ML tooling for experimentation, training, deployment, and monitoring. - Solid understanding of MLOps and ML lifecycle management, including data versioning, experiment tracking, model governance, and production monitoring. - Proficiency in Python and SQL, with demonstrated ability to build performant, scalable, and reliable data pipelines for ML use cases. - Experience working with structured and unstructured datasets for advanced analytics, machine learning, and generative AI applications. - Familiarity with data governance, security, and compliance principles as applied to AI systems, including data quality, lineage, access control, and privacy. - Working knowledge of cloud and on-premises infrastructure and distributed systems, including storage, compute, and cost-optimization strategies for ML-driven data platforms. - Proven ability to collaborate with data scientists, ML engineers, and platform teams, translating AI/ML requirements into scalable, production-ready data solutions. - Strong written and verbal communication skills in English, with the ability to present technical concepts clearly to both engineering and non-technical stakeholders ACADEMIC CREDENTIALS: - PhD or MSc degree in Computer Engineering, Software Engineering, Computer Science On-site / hybrid role in Poland, Gdansk LI-CC5 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Fleet Management Solutions
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is looking for an AI solutions systems Engineer who is passionate about complex and innovative AI solutions, AI infrastructure, fleet management and automation solutions. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: The ideal candidate should be passionate about software engineering, system design, automation and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: - Work with AMD’s architecture specialists and hybrid cloud/edge developers to architect, develop and scale AI fleet management solutions spanning multiple global regions - Drive performance optimization and reliability based on industry best practices - Leverage AI to enhance developer and organizational productivity and solution capabilities - Influence roadmap and long-term architectural evolution of cutting-edge AI compute solutions PREFERRED EXPERIENCE: - Extensive experience building and operating distributed systems or large-scale infrastructure platforms - Strong proficiency in Python and JS based stacks (eg, Angular, React etc) - Experience designing and operating containerized systems (Docker, Kubernetes) and managing compute clusters (e.g., Slurm or similar schedulers) - Proven experience with public cloud platforms (AWS, Azure, or GCP) and/or hybrid or edge infrastructure - Strong knowledge of SQL databases - Deep understanding of Linux systems, administration, and scripting - General understanding in platform control, fleet management, IT and data center infrastructure - Familiar with AI dev tools such as Cursor or Claude - Demonstrated experience leading complex architectural initiatives across teams Bonus: - Experience building AI-driven or agent-based systems in production environments - Contributions to open-source infrastructure projects - Experience with authentication and security - Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (Terraform, Ansible, etc.) PREFERRED ACADEMIC CREDENTIALS: - Bachelor or master's degree in Electrical/Computer Engineering, Mathematics, Computer Science or an equivalent preferred LOCATION: Austin, Texas or Markham, Ontario LI-G11 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Research Infrastructure Engineer
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them. AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward. THE ROLE: We are seeking an AI Research Infrastructure Engineer to operate, scale, and continuously improve the shared GPU and HPC compute platform behind our AI, ML, and HPC research. You will own the day-to-day health of our SLURM and GPU clusters and work hands-on with researchers to get demanding workloads—including large-scale multi-GPU and multi-node training—running reliably and efficiently. This is a research-enablement role, not a traditional systems-administration role. It requires research literacy—a working understanding of how modern models are trained and where they bottleneck—so you can partner with researchers as a technical peer and directly accelerate their work. The focus is on enabling and operating research infrastructure, not pursuing an independent research agenda. Your scope spans both internal and externally visible compute clusters across the research organization, including AMD's university program clusters and interfacing with external academic collaborators. You may also help coordinate the contractors and systems administrators supporting the environment. Familiarity with modern agentic engineering workflows—tools such as Claude Code, Codex, or Cursor—is also expected. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: - Own day-to-day operations of the SLURM-managed GPU and HPC clusters, ensuring high availability, utilization, and performance across a multi-user research environment. - Partner directly with researchers as a technical peer to get demanding multi-GPU and multi-node workloads running and optimized. - Operate and improve the broader compute platform—shared storage, networking, containers, and monitoring—and build automation and self-service workflows that reduce friction for researchers. - Support GPU platform and hardware bring-up: validation, enablement, debugging, and operational readiness. - Manage AMD's university program clusters and support external academic collaborators alongside internal research users, spanning both internal and externally visible compute clusters. - Lead incident response and root-cause analysis, and build runbooks and preventive practices to improve reliability. - Set operational standards and best practices, and help coordinate the contractors and systems administrators supporting the environment. - Apply agentic coding and operations workflows to improve velocity across deployment, troubleshooting, documentation, and infrastructure management. Experience: - Operations- and infrastructure-minded, with a strong bias toward reliability, automation, usability, and reducing operational overhead for researchers. - Strong hands-on Linux systems administration in shared/multi-user, production compute environments. - Practical, hands-on experience with the SLURM workload manager—partitions, scheduling policy, accounting, node management, and tuning. - Experience operating GPU, HPC, or AI/ML research compute environments. - Research literacy: a working understanding of how large models are trained and where they bottleneck, alongside researchers as a technical peer on multi-GPU/multi-node workloads. - Experience with Docker/containers and Kubernetes, plus automation and system health monitoring. - Familiarity with agentic engineering workflows using tools such as Claude Code, Codex, or Cursor. Preferred: - DevOps practices: GitHub Actions, self-hosted runners, CI/CD pipelines, and infrastructure automation / Infrastructure as Code. - Container registries and reproducible runtime environments. - Shared storage, networking, and high-speed interconnects (InfiniBand, RoCE) in multi-user clusters. - AMD GPU platforms and the ROCm/RCCL stack—hardware bring-up, architecture-aware debugging, validation, or performance workflows. - Supporting developer- or researcher-facing platforms. ACADEMIC CREDENTIALS: Bachelor’s or master’s degree in computer science, computer engineering, electrical engineering, or equivalent preferred LOCATION: Austin, TX This role is not eligible for visa sponsorship. LI-MR1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Validation and Test Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE This role focuses on leading system-level, rack-level, and cluster-scale validation for next-generation AI and machine learning platforms. You will define validation strategies, drive technical direction, and lead complex validation initiatives across hardware, firmware, software, and infrastructure domains. You will work closely with architecture, platform engineering, silicon design, firmware, software, and deployment teams to ensure product quality, reliability, and deployment readiness at scale. The role requires deep technical expertise, strong analytical skills, and the ability to influence technical decisions across multiple engineering organizations. You will be responsible for establishing validation methodologies, driving execution across large-scale validation environments, and identifying quality risks that impact product readiness and customer deployments. THE PERSON You are a technical leader with extensive experience in system-level validation and large-scale server platforms. You thrive on solving complex technical problems, driving cross-functional initiatives, and defining scalable validation approaches for emerging technologies. You are comfortable operating with minimal supervision while providing technical leadership across engineering teams. You possess strong debugging skills, sound technical judgment, and a deep understanding of hardware-software interactions. You proactively identify technical risks, drive resolution of complex platform issues, and influence engineering decisions that improve product quality, validation effectiveness, and deployment readiness. You are passionate about mentoring engineers and elevating engineering excellence across the organization. KEY RESPONSIBILITIES - Lead system-level, rack-level, and cluster-scale validation strategy for AI and machine learning server platforms. - Define and drive comprehensive validation plans covering customer deployment scenarios across scale-up and scale-out environments . - Develop validation methodologies and test strategies spanning CPU, GPU, memory, BIOS, BMC, networking, storage, platform firmware, operating systems, and infrastructure components. - Collaborate with architecture, hardware, firmware, software, and platform engineering teams to define validation requirements, identify coverage gaps, and improve overall product quality . - Lead investigation and root cause analysis of complex hardware, firmware, software, networking, and system integration issues. - Drive technical decision-making within the validation organization and influence cross-functional teams to resolve critical product risks and quality concerns. - Define and enhance scalable validation frameworks , automation infrastructure , telemetry-driven workflows , and data-driven validation methodologies . - Analyze large-scale validation data to identify systemic failures, reliability risks, performance bottlenecks, and product readiness concerns. - Establish validation readiness criteria , quality metrics , and coverage strategies that improve execution efficiency and provide early risk identification . - Mentor and provide technical leadership to engineers, helping improve validation methodologies, automation capabilities, debugging effectiveness, and system-level engineering practices. - Drive execution across multiple validation programs while managing priorities, dependencies, schedules, and technical risks. - Communicate validation status, readiness assessments, quality metrics, technical recommendations, and key risks to senior technical leadership and management . - Support customer-focused validation efforts by ensuring test environments accurately represent real-world deployment conditions and hyperscale operating environments . - Drive continuous improvements in validation processes, tools, and automation to improve organizational efficiency, test coverage, and product quality. PREFERRED EXPERIENCE - 8+ years of experience in system-level validation, platform validation, post-silicon validation, large-scale infrastructure validation , or related engineering disciplines. - Proven experience validating large-scale server, AI, cloud, HPC, or data center platforms . - Demonstrated ability to lead investigation and resolution of complex hardware, firmware, software, networking, and infrastructure issues . - Experience validating scale-up and scale-out architectures , including rack-scale and cluster-scale deployments . - Deep understanding of computer architecture , server platform design , operating systems, networking, storage, and hardware/software interactions. - Experience developing automated validation frameworks , orchestration systems , and large-scale test infrastructure . - Strong proficiency in Python and Linux environments, with working knowledge of Bash and/or PowerShell. - Experience leveraging telemetry , analytics , and data-driven methodologies to improve validation coverage, efficiency, and root cause analysis. - Familiarity with AI , machine learning , GPU computing , or accelerated computing environments deployed in data center infrastructures. - Demonstrated ability to lead cross-functional technical initiatives and influence engineering decisions across organizational boundaries. - Experience mentoring engineers and driving technical excellence within validation and product engineering organizations. - Experience supporting product readiness , customer deployment validation , and release qualification activities . - Strong communication skills with the ability to convey technical risks, recommendations, and status to executive and technical leadership . ACADEMIC CREDENTIALS - Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. LOCATION - Secaucus, New Jersey (Onsite) This role is not eligible for visa sponsorship. LI-SC3 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Manager, Solutions Architecture - Continuous Bring...
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. NVIDIA is looking for a Manager of Solution Architecture to lead NVIDIA Infrastructure Specialist Team, Continuous bringup and optimization. Academic and commercial groups around the world are using NVIDIA products to redefine deep learning and data analytics, and to power data centers. We are building many of the largest and fastest AI/HPC systems in the world! We are 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 projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: - Lead a team dedicated to consulting, optimizing, and improving the resiliency of customer AI factory infrastructures, ensuring high service quality and operational perfection. - Drive hands-on infrastructure analysis and tuning of complex GPU-accelerated systems, AI workloads, and datacenter environments, identifying areas for efficiency gains and operational improvements. - Work closely with internal teams (Engineering, Product, Sales) and customer collaborators to align infrastructure strategies with business goals, enabling smooth, scalable AI deployments. - Act as a technical authority on NVIDIA GPU, CPU and networking technologies, supporting customer discussions, architecture reviews. - Establishing and evolving optimization and monitoring methodologies, using analytics and tooling to detect bottlenecks, reduce downtime, and ensure system health at scale. - Participate in customer-facing engagements, including roadmap sessions, post-deployment reviews, and incident retrospectives, helping to craft the customer experience and influence NVIDIA’s infrastructure strategy. What we need to see: - Over 4 years leading teams and 8+ overall years in service operations in large data centers, focusing on infrastructure performance. - Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field, with shown technical leadership in data center, server, and network operations. - Proficiency in both Japanese and English, demonstrating clear communication of technical topics across multicultural teams and with customers. - Deep expertise in data center architecture and operations, including servers, GPUs, NICs, networking topologies, storage systems, and Linux-based environments. - Strong analytical, solving problems, and decision-making skills, capable of identifying root causes, driving continuous improvement, and delivering resilient technical solutions. - Strong communication, time management, and organizational skills, along with experience in leading complex projects, guiding technical teams, and meeting important metrics. Ways to stand out from the crowd: - Deep familiarity with AI infrastructure and workflows, including training/inference pipelines, MLOps/DevOps tools, containerization (Docker, Kubernetes), and large-scale system deployments. - Knowledge of data center infrastructure operations, including safety, security, environmental controls, and standard operating procedures. - Strong interpersonal and collaboration skills, with the ability to lead discussions, influence outcomes, and build positive relationships with both internal and external collaborators. 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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
LLM Reinforcement Learning Framework Engineer
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. As a key player in the AI revolution, NVIDIA is pushing the boundaries of what's possible in accelerated computing. We are seeking an exceptionally dedicated LLM Reinforcement Learning Framework Engineer to join our ambitious team. This role is vital in advancing our large language model (LLM) capabilities, particularly in improving reasoning abilities for math, coding, and agentic AI. Join us and contribute to groundbreaking innovations that will craft the future of computing! What you’ll be doing: - Developing and deploying reinforcement learning algorithms for LLM post‑training to improve reasoning and alignment. - Integrating RL components into NVIDIA’s LLM training and serving stack with a cross‑functional team of engineers and researchers. - Crafting and running experiments, evaluations, and debugging workflows to ensure robustness, scalability, and reliability in production. What we need to see: - Strong Python programming skills with production‑quality PyTorch experience in multi‑GPU and distributed training environments. - Hands‑on experience with modern LLM frameworks such as NeMo RL, Megatron‑LM, DeepSpeed, vLLM, TensorRT‑LLM, or similar is a big plus. - Practical experience with reinforcement learning applied to LLMs or large‑scale sequence models. - Familiarity with async and distributed orchestration (e.g., asyncio, torch.distributed, Ray, or equivalent). - 3+ years of relevant industry or research experience, and BS/MS (or equivalent) in CS, CE, EE, or a related field. - Solid foundations in probability, optimization, statistics, and deep learning. - Understanding of GPU architecture and performance optimization is a strong plus. - Strong problem‑solving, debugging, and collaboration skills, with a passion for innovation and delivering industry‑leading AI solutions. Join us at NVIDIA and help build the next generation of reasoning‑capable LLMs that make a lasting impact on the world! 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.
Developer Technology Engineer – AI
NVIDIA is looking for a passionate, world-class computer scientist s and engineers to work in its Compute Developer Technology ( DevTech ) team. DevTech is an elite team bridging customer requirements and NVIDIA solutions. Inside this team, you will conquer engineering and applied research challenges originated from real-world use cases together with talented, skilled and warm-hearted teammates. All talents of different backgrounds are welcome! We don't assume you know everything about GPU and CUDA. Especially, if you consider yourself an excellent C++ engineer and really love programming, please do submit your resume! What you'll be doing: - Research and develop cutting-edge techniques in deep learning, machine learning, HPC (High Performance Computing), graphs and data analytics, and perform in-depth analysis and optimization to ensure the best performance on NVIDIA current- and next-generation accelerated computing platform, including GPU, CPU and DPU. - Work directly with key customers to understand the current and future problems they are solving and optimize their workloads to maximize performance on our platform. - Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to design and develop next-generation architectures, software platforms, and programming models. What we need to see: - MS or PhD from university in engineering or computer science or related disciplines. - 2+ years working experience - Strong knowledge of C/C++, software design, programming techniques, or AI algorithms and system. - Experience with accelerated computing, ideally CUDA C/C++/Python. - Good communication and problem-solving skills. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people on the planet working with us and our engineering teams are expanding fast. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.
Senior Formal Verification Engineer, GPU Kernels
We are now looking for a Senior Formal Verification Engineer for GPU Kernels! Modern AI performance relies on highly optimized GPU kernels — performance-critical code where bugs can be hard to catch and expensive to miss. NVIDIA's Deep Learning Safety Team is hiring engineers to build the verification tools that prove these kernels behave correctly, enabling their deployment in a large range of environments, including safety-critical systems. The mission is to design and develop scalable verification tools for GPU kernels. You will design and implement new verification approaches that can handle the massive concurrency and complex memory model of the latest GPU architectures. Formal methods alone cannot scale to modern GPU kernels, and AI alone cannot offer safety guarantees — the team's bet is that the combination can, and you will help build it. Join the team supporting compiler and kernel developers for safe autonomous driving. What you'll be doing: In this role, you will be responsible for developing and delivering verification tools for GPU kernels. The scope of these efforts ranges from developing new algorithms to evaluating them, from building tools to automating workflows, from joining architecture discussion to learning the latest technologies from the research community. The AI + formal methods intersection is an active research area — expect to read papers, prototype ideas from them, and contribute back where it makes sense. - Design and develop robust and scalable verification tools for GPU kernels. - Integrate your work in production pipelines to support kernel and compiler developers. - Integrate AI into formal verification workflows, build agents to automate verification tasks (formalization of specifications, bug fixing, root cause analysis) - Participate in a high-energy and dynamic company culture to develop innovative software and hardware products and practice hardware-software co-design. What we need to see: - MS or PhD in Computer Science, Compute Engineering or equivalent experience. - 6+ years of relevant work experience. - Formal methods experience: symbolic execution, SMT solving, interactive theorem proving, or model checking. - Strong programming skills in C/C++ or Rust, experience in SCM (e.g., Git) and build systems (e.g., Make, CMake). - The ability to work independently, define project goals and scope, and lead your own development effort Ways to stand out from the crowd: - Knowledge of CPU and/or GPU architecture. CUDA or OpenCL experience is a plus. - Background in the formalization of weak memory models. - Experience in the verification of concurrent software. - Experience building LLM agents with tool use and multi-step reasoning, or with neurosymbolic approaches and LLM-assisted theorem proving. This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many software projects. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until April 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.
Principal Architect, AI Networking
An applied research team within NVIDIA’s Networking Systems & Software Architecture group is solving some of AI’s hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands—spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. The team's charter expands into emerging domains including quantum computing interconnects. This Principal Architect role leads the research agenda and architectural direction for how NVIDIA’s AI systems communicate at scale—across GPUs, DPUs, NICs, and heterogeneous storage. It requires someone who defines project scope from scratch, publishes original work, and translates research breakthroughs into production-grade software that ships industry-wide! What you will be doing: Setting the long-term technical vision for distributed AI communication systems—GPU-to-GPU, GPU-to-storage, and cross-node data movement. Conducting original research and prototyping next-generation networking solutions over RDMA, NVLink, and GPUDirect. Driving hardware-software co-optimization with GPU, DPU, NIC, and network switch. Investigating fundamental bottlenecks in communication runtimes for large-scale AI workloads (KV cache transfer, disaggregated prefill/decode, model parallelism). Integrating networking capabilities into AI serving stacks such as vLLM, SGLang, and TensorRT-LLM. Publishing findings, representing NVIDIA in industry forums and standards bodies, and mentoring senior engineers across the organization. What we need to see: 15+ years in systems software and/or networking with deep expertise in high-performance networking (InfiniBand, RoCE, RDMA, NVLink), communication libraries (e.g. NIXL, NCCL, UCX, MPI, NVSHMEM), and GPU accelerated systems, with track record of defining and delivering complex, cross-team technical initiatives from research concept to production. MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Deep understanding of computer architecture, memory hierarchies, DMA engines, and OS-level networking. Understanding of ML systems concepts—transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns. Proficiency in programming languages such as C, C++, Rust and Python. Ways to stand out from the crowd: Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements. CUDA programming and NVIDIA GPU architecture expertise. Proved experience influencing product strategy and technical roadmap at a senior level. Major open-source contributions. With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love 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 272,000 USD – 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until 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.
Machine Learning Engineer - Humanoid Robotics
NVIDIA is seeking exceptional machine learning engineers to join our world-class robotics initiatives focused on humanoid loco-manipulation. As part of the Isaac Loco-Manipulation team, you’ll collaborate with industry-leading experts, contribute to robotics foundation models including GR00T and Cosmos, and help define the future of humanoid robot capabilities. We are looking for strategic, ambitious, and creative individuals passionate about advancing the boundaries of robotics.This is demanding, cross-disciplinary work at the intersection of cutting-edge research and rigorous engineering. What you'll be doing: - Collaborate with researchers and engineers to define and execute projects in humanoid robotics loco-manipulation and mobile manipulation areas. - Contribute to the development and advancement of GR00T and Cosmos foundation models. - Develop reference workflows with Isaac Lab and Newton for humanoid and mobile manipulation dexterous tasks. - Advance technologies for robot learning and synthetic data generation using human videos. - Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments. - Transfer innovations into products, with deliverables including prototypes, open source software contributions, patents, and/or publications in top conferences and journals. - Drive the full development lifecycle from model and algorithm design, with sim-to-real transfer, to rigorous on-robot validation and production deployment. - Collaborate cross-functionally with teammates and partners to share best practices and advance shared goals. What we need to see: This role prioritizes candidates with proven execution bandwidth of applied research and engineering and a strong delivery track record on robotics platforms. - PhD or Master’s degree in Robotics, Computer Science, or a related field (or equivalent experience). - 3+ years of experience working on robotics software. - Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and physics simulation tools like Isaac Sim/Lab or MuJoCo. - Expertise in foundation models for robotics and 3D perception. - Experience with sim-to-real and real-to-sim transfer in robotics. - Deep knowledge of robot learning, including imitation and reinforcement learning. - Hands-on experience of real robot testing, humanoid experience is preferred. - Strong software engineering fundamentals, including proficiency in C++ and Python. Ways to stand out from the crowd: - Experience learning from human video demonstrations or human-object reconstruction. - Expertise in dexterous bimanual manipulation or whole-body control. - Proven track record in robotics research, including publications in top conferences (e.g., RSS, ICRA, CoRL, NeurIPS, CVPR, ICLR). - Demonstrated technical leadership experience.
Senior Applied AI Researcher, Digital Biology
NVIDIA Israel is seeking innovative and driven Applied Researchers in the field of deep learning. We are looking for candidates with a consistent track record of research excellence; a broad perspective across the fields of artificial intelligence; and deep experience in machine learning, applied science, and computational medicine. NVIDIA is a world leader in high-performance and mobile computing technology for AI, with ambitious plans for future systems. This position offers the opportunity to have a real impact in an applied research-focused team in a dynamic company. The Applied AI Architecture group focuses on applied research. As a member of the team, you will publish your work and share code as an open source. In addition, you will join a groundbreaking initiative at the intersection of AI and biology. This collaborative project aims to develop both foundational and generative AI models, as well as agentic AI systems, redefining our understanding of complex biological systems and enabling advanced diagnostics and novel scientific insights, while strengthening NVIDIA’s Health Platform ecosystem. What You'll Be Doing: - Conceptualize, design, and implement novel deep learning architectures for biological data, with a strong focus on large-scale models such as Large Language Models (LLMs), Transformers, and State Space Models (SSMs). - Develop multimodal learning systems that integrate heterogeneous data types (e.g., clinical time-series, imaging, genomics, and text) for improved representation and prediction. - Develop both foundational and generative models and agentic AI systems, including multi-step reasoning, tool use, and autonomous decision-making capabilities. - Develop digital twin systems for healthcare, combining mechanistic models, physiological data, and AI to simulate disease progression, treatment response, and patient-specific trajectories. - Implement deep learning systems integrated with agents, enabling end-to-end workflows that combine learning, planning, and execution. - Evaluate model performance, analyze results, and iterate on designs to achieve optimal outcomes. - Apply your knowledge of distributed training to build high-quality code for training, optimizing, and deploying large-scale models, while managing complex datasets. - Collaborate closely with a diverse team of researchers, bioinformaticians, and domain experts in a highly interdisciplinary environment. What We Need to See: We are looking for individuals who demonstrate a strong foundation in deep learning and a proven ability to translate innovative ideas into practical, scalable systems. - PhD in Machine Learning, Computer Science, Engineering, or a related discipline. - 8+ years of hands-on experience in developing, training, and deploying deep learning models at scale, including LLMs, Transformers, SSMs, and/or generative models. - Experience with multimodal learning and integrating diverse data modalities is highly valued. - Experience with agentic AI frameworks or systems (e.g., tool-augmented models, planning-based agents, or multi-agent systems) is a strong advantage. - Strong expertise in distributed training, optimization, and inference. - Proven ability to lead independent research, implement robust solutions, and rigorously evaluate performance. - Track record of publications and presentations at top conferences. - Strong programming skills in Python and C++, with experience in PyTorch and/or CUDA. - Excellent communication skills and ability to thrive in a dynamic, research-driven team. Mentoring experience is a plus. Ways To Stand Out From The Crowd: - Hands-on experience building advanced AI systems, including agentic AI (RAG, tools, planning, multi-agent) and multimodal models combining vision, language, and structured/time-series data. - Proven track record optimizing large-scale ML systems, with experience in data pipelines and distributed frameworks for LLM-scale data. - Background in bioinformatics or digital biology, with experience working across interdisciplinary teams spanning research, engineering, and clinical domains. - Experience in building or implementing digital twin systems, simulation frameworks, or data-driven modeling in healthcare or related domains is a strong plus. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Senior Software Engineer, RL Post-Training Framewo...
Reinforcement learning post-training is driving some of the most significant capability gains in AI today. It is the process that teaches a model to reason through hard problems, follow complex instructions, and act as an autonomous agent. It is also one of the hardest infrastructure challenges in the field. RL requires inference, rollout generation, and training running in a continuous loop. The rollout step is what makes it hard: the model must interact with environments, tools, and other models to produce the signal that drives learning. Coordinating actor, critic, and reward models across heterogeneous hardware at scale pushes the limits of what distributed systems can do. NVIDIA is building an RL Frameworks engineering team to develop the open-source tools and infrastructure that AI researchers and post-training teams depend on. The team spans the full software stack, from collaborating closely with the researchers and labs pushing the frontier, to contributing to RL frameworks like VeRL , Miles , and TorchTitan , to improving the distributed runtimes they depend on, including Ray and Monarch . Whether your strength is working with researchers to understand and address their need optimizing deep learning frameworks, or building distributed infrastructure, we want to hear from you. Come join us to build the systems that enable the next generation of AI. What you will be doing: You will architect and build RL post-training infrastructure that scales efficiently from experimentation on a single GPU to production across thousands of nodes. This means tuning RL training-inference-rollout loops on GPUs, CPUs, and LPUs for performance where it matters, contributing to and improving the performance and usability of open-source RL frameworks, and partnering with the teams who own them. The role also spans fault tolerance, elastic scaling, and fast restarts so long-running distributed training jobs survive failures, stragglers, and resource contention. Beyond GPU-accelerated training, this work includes partnering with teams building CPU-driven rollout workloads, including tool-use, code execution, and agentic environments, supplying the systems and framework engineering needed to run them efficiently alongside GPU- or LPU-accelerated generation and GPU-accelerated training. It also means advocating for researcher and partner needs with NVIDIA's networking, math library, and compiler teams so the capabilities RL workloads require get prioritized and delivered, and working with hardware teams to take advantage of next-generation hardware capabilities in post-training workloads. What we need to see: - MS or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience) - 5+ years of professional experience in distributed systems, high-performance computing, deep learning infrastructure, or ML systems engineering - Strong proficiency in Python and C/C++ - Demonstrated experience building or contributing to large-scale distributed systems or runtime frameworks in production at a frontier AI lab, hyperscaler, or major technology company - Strong verbal and written communication skills and the ability to collaborate across organizational and geographic boundaries Depth in one or more of the following technical areas: - Reinforcement learning for LLM post-training (RLHF, PPO, GRPO, DPO, reward modeling), including how algorithms map to distributed execution and the systems challenges they create (heterogeneous placement, rollouts, environment execution, resharding between training and generation) - PyTorch internals, including distributed training primitives (FSDP, tensor parallelism, pipeline parallelism) and their composition - Kubernetes runtime internals (container lifecycle, pod scheduling, resource quotas, GPU allocation) - End-to-end distributed systems design (service boundaries, data flows, consistency models, failure modes, recovery approaches) Experience in any of the following areas is a plus: - Deep expertise in networking (NCCL, NVLink, InfiniBand), advanced multi-dimensional parallelisms (Megatron-LM, FSDP2, TP/DP/PP, MoE), or memory optimizations (quantization-aware training, mixed precision) - Experience integrating high-performance inference engines (vLLM, SGLang, TensorRT-LLM) into RL training loops for GPU-accelerated rollout - Strong background in actor- and task-based distributed programming (Ray, Monarch, or comparable systems) - Familiarity with multi-turn training, multi-agent co-evolution, or VLM post-training Ways to stand out from the crowd: - Open-source contributions to RL post-training or distributed training projects (e.g., VeRL, Miles, TorchTitan, OpenRLHF, NeMo-Aligner, DeepSpeed-Chat), including significant work on framework internals where applicable - Kubernetes work beyond routine operations (custom operators, GPU device plugins, or scheduling contributions) - Direct experience operating frontier-scale training (RL post-training at thousands of GPUs and/or large-scale LLM or multimodal pre-training) - Hands-on experience with production distributed failures at scale (stragglers, resource contention, hardware faults) Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 April 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.
Senior Applied Researcher, AI Agentic Systems
We are in search of a top-tier AI Agents applied researcher to work closely with hardware architects and software developers to develop end-to-end agentic systems that drive significant enhancements in NVIDIA's products. Our team propels generative AI forward by building and deploying agentic systems that integrate innovative LLMs with domain tools to expedite HW and SW engineering workflows at scale. What You'll Be Doing: - Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks. - Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources. - Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles. - Collaborate with SME's to transform rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in NVIDIA's HW and SW products. - Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements. What We Need To See: - BSc/MSc in CS/CE or related field (or equivalent experience) - 10+ years in applied ML/AI or large-scale systems, with 3+ years crafting agentic or LLM-powered applications in production environments. - Proficient in Python; skilled in agentic frameworks, tool use, RAG pipelines, and model adaptation. - Excellence in communication and facilitation: aligning diverse collaborators, documenting decisions/assumptions, and influencing without authority. - Proactive, independent, possessing strong analytical and problem-solving abilities; adept at handling uncertainty to provide practical, gradual benefits. Ways To Stand Out From The Crowd: - Strong software development experience - Experience with data processing and storage (e.g. SQL databases, NoSQL databases). - Networking background, with knowledge of network architectures and networking concepts At the intersection of cutting-edge innovation and global impact, we have cultivated an environment where the world's most brilliant minds thrive. We offer industry-leading compensation and a culture built on excellence. If you are a high-impact applied researcher who lives for complex problem-solving and technical mastery, you belong here. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation
Compiler Engineer - AI Inference
NVIDIA's invention of the GPU 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”. NVIDIA is seeking top-tier AI Compiler Engineers to drive innovation within our world-class compiler organization. In this role, you will push the boundaries of what is possible in AI performance and help build the technology that powers the next generation of computing. Join us and make a tangible impact on a global scale. What you’ll be doing: - Drive technical innovation: Participating in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs. - Advance the state-of-the-art: Solve complex compilation problems for AI workloads (both inference and training) and successfully transition these breakthroughs into enterprise and consumer products. - Collaborate on hardware/software co-design: Partner with leading experts across our software, hardware, and research divisions to architect and co-design future silicon. - Scale AI to the datacenter: Participating in the advancement and optimization of datacenter-scale AI workload deployments. What we need to see: - BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience). A PhD is strongly preferred. - Compiler Experience: 3+ years of relevant industry experience specializing in compiler optimizations, synthesis, and placement. - MLIR Knowledge: Demonstrated, hands-on experience working with MLIR. - Programming Excellence: Exceptional C/C++ and Python programming and software design skills, including rigorous debugging, performance analysis, and test design. - Team Dynamics: Strong communication and interpersonal skills, with the ability to collaborate effectively in a dynamic, fast-paced, and product-oriented environment. Ways to stand out from the crowd: - Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures. - LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture. - Architecture & Design: Demonstrated understanding in the designing and architecting of comprehensive compiler frameworks from the ground up. 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. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until April 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.
Senior Software Engineer, Metropolis Vision AI
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. - 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 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 April 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.
Senior Software Development Engineer in Test - SDE...
NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you. We are now looking for a Software QA Development Engineer; you will collaborate with multi-functional groups. SWQA Developer Engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA Engineer can improve productivity or optimize test plan. As a SWQA Developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. What you’ll be doing: - Review product requirements and develop test matrix. - Build test plan, design test case, execute and report test progress, bugs, and results to management. - Automate test cases and assist in the architecture, crafting and implementing of test frameworks. - Manage bug lifecycle and co-work with inter-groups to drive for solutions. - In-house repro and verify customer issues/fixes. What we need to see: - BS or higher degree or equivalent experience in CS/EE/CE plus equivalent with 5+ years QA experience. - Proficient in Unix/Linux and shell/python programming skills. - Rich experience in test cases development, tests automation in API/UI and failure analysis. - Solid experience with AI development tools, including creating test cases, automating test cases, and ensuring comprehensive code coverage, among other related tasks - Good knowledge and hands-on experience in model testing and LLM benchmarking - Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc. - Excellent communicator, fluent written and verbal English. - Good teamwork with ability to work independently. Passion to learn new hardcore technology. Ways to stand out from the crowd: - Experience working with NVIDIA GPU hardware is a strong plus - Background in deep learning frameworks is a plus - Experience in parallel programming ideally CUDA/OpenCL is a plus
Senior Manager, PR - AI Industries
NVIDIA is looking for a hardworking PR storyteller and leader to help expand awareness of AI’s influence in many industries. These industries include telco, energy, retail, finance, media & entertainment, and others. Join our team at a time when the world is changing rapidly, thanks to NVIDIA advances in AI and accelerated computing. If you are driven and have a passion for driving new technologies , then join us! What you’ll be doing: - Lead communications strategy and execution to showcase how industries and key partners are fully embracing AI to transform their businesses - Collaborate with business leaders, marketing leads and industry partners to develop and tell compelling stories to the media - Engage in proactive storytelling / media engagement about the impact of AI and accelerated computing technology across various industries - Develop key messages that resonate with external audiences - Pitch and manage stories with reporters to secure impactful press coverage - Nurture strong long-term relations with business, technology and trade media What we need to see: - 10+ overall years of PR/comms experience at leading tech companies/agencies - 5+ years of team management experience - Experience leading media relations strategy and execution in a high-stakes environment - Bachelors degree or equivalent experience. - Outstanding communication skills, including professional writing abilities and verbal communication - Proven ability to generate impactful media coverage, working with a range of reporters and subject matter areas - Ability to uplevel technical messages into compelling narratives that are understandable to audiences of all types - Demonstrate an eagerness to go above and beyond, seek out challenges, and anticipate needs before they arise - Able to think outside of launches, events and announcements to keep PR momentum going through proactive opportunities - Highly diligent with outstanding project-management skills - Creative, collaborative, and organized, with a knack for balancing multiple projects - Experience managing a small team and/or agency relationship Ways to stand out from the crowd: - Experience in AI, enterprise, and technology communications - Experience in two or more industries, and proven track record of successfully telling complex technology stories in an approachable way - Strong relationships with business and technology reporters Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until May 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.
Senior System Level Product Development 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 take on, 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. Are you passionate about working on a team that is at the cutting and bleeding edge of hardware technology? Our System Level Product Engineering team at NVIDIA works on groundbreaking innovations involving crafting creative solutions for system level diag, verification and post-silicon validation on some of the industry's most complex semiconductor chips. If you're creative and autonomous, we want to hear from you! At NVIDIA, you will have the opportunity to shape some of the most incredible products on the market today. Your work will touch every industry - from medical, to auto, to robotics and more. What you'll be doing: - As a member of our system level product development engineering group, you will be responsible to develop and improve all aspects of testing NVIDIA's state of the art GPU products. - Your duties include characterization, yield enhancement, spec validation, customer failure improvement, and addressing the production issue . - Expect to interface with other engineering groups to resolve silicon issues. - Initiate and drive process improvements and preventative actions, possibly through root cause analysis. - It is imperative that this individual always looks to improve work, products, functions and methodologies through an on-going analysis while communicating and sharing new information and methods with cross-functional team members to achieve the company goals. What we need to see: - Master's degree in Electrical Engineering - 5+ years of product engineering work experience or relevant experiences - Be self-motivated with strong technical, interpersonal, written/oral communication skills - Problem solving experience/ability - Be able to quickly become a strong contributor both as an individual and as a member of highly productive team - Skilled at collaborating with global teams. - Knowledgeable with PC architecture, AGP/PCIe busses and SDRAM/DDR/HBM is a plus Ways to stand out from the crowd: - Experience with system level testing. - Background with Perl, Python, C/C++, Windows, and Linux. 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.
Applied Machine Learning Engineer, Circuit Design...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! Our team builds AI-driven software systems for circuit design, combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. What you'll be doing: - Work within a multi-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation. - Work on applications ranging from silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and agent flow optimization. - Translate requirements into data science, AI/ML, and agentic system problems; architect and build solutions. - Test and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization. - Analyze datasets, raise and validate hypotheses, extract relevant features, and build models and self-improving workflows on top of them. - Optimize models, algorithms, and autonomous optimization systems until they reach the desired QOR. What we need to see: - Master's or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics (or equivalent experience). - Knowledge in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design is required. - Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++. Ways to stand out from the crowd: - Experience building AI systems for EDA, design automation, or circuit design workflows. - Research or project experience in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems. - Experience building agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms. - Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus. NV IDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until May 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.
Senior Deep Learning Researcher, Diffusion
We are seeking a Senior Deep Learning Researcher for an excellent opportunity! This role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to advancing diffusion-based technologies. You will work with pioneering methodologies and tools, crafting solutions that push the boundaries of AI capabilities. Joining NVIDIA means being part of a phenomenal team renowned for its inventions, such as NVIDIA Cosmos , Llama-Nemotron , Sana , and contributing to impactful work that influences various applications. We offer a collaborative environment that fosters professional growth. You will have the opportunity to collaborate with some of the brightest minds in the field, both within NVIDIA's global network and with leading companies worldwide, making this role perfect for those passionate about advancing AI technology and eager to make a significant impact on the future of the field. What you'll be doing: - Invent and build ground-breaking techniques for efficient multi-modality model creation and publish the findings in leading journals and conferences. - Combine traditional diffusion technologies with the latest and greatest LLMs. - Contribute to NVIDIA's AI enterprise software to ensure robust and scalable solutions. - Collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company. - Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications. What we need to see: - PhD. in Computer Science, Electrical Engineering, or a closely related field, or equivalent experience. - At least 3 years of relevant research experience - Publications in prestigious conferences and journals like NeurIPS, ICLR, and CVPR - In-depth understanding and active research experience in leading generative AI techniques, with a track record of contributing to advancements in this area - Extensive experience in image and video understanding, generation, and reasoning. Ways to stand out from the crowd: - High proficiency in programming and coding - Degree from a top-tier institution or equivalent experience in a world-class industrial research group - Substantial contributions to the multi-modality or diffusion forefront of research. - Experience in research fields of LLMs. Candidates should apply with a detailed CV, publication list, and brief research statement. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Solutions Architect - AI Development
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. What you'll be doing: As a Solutions Architect in NVIDIA AI Technology Center (NVAITC), you will be leading the way in AI research and application. You will: - Lead and mentor junior technical members, encouraging a collaborative and inclusive environment. - Collaborate with the management team to develop and implement strategic engagements and projects involving institutes of higher learning (IHLs), industry, and government, ensuring seamless delivery and implementation. - Serve as a research & engineering subject matter expert (SME), driving internal and external collaborations with academia and industry. - Serve as the technical expert for NVIDIA technologies including Omniverse, NeMo, NIMs, RAPIDS, and Deep Learning toolkits. - Play a key role in NVIDIA’s global initiative to foster accelerated AI throughout the ecosystem by facilitating and supporting workshops, symposiums, and technical sharing sessions. - Mentor collaborators, interns, and students, providing mentorship and skills training to successfully implement AI projects. - Develop NVIDIA technology-related tutorials, demos, and workshop materials, showcasing our world-class innovations. What We Need To See: - Demonstrated 5+ years of experience with NVIDIA technologies (i.e., Omniverse, NeMo, NIMs, RAPIDS, AI model training using accelerated AI compute, etc.). - Proficiency in AI research areas including Digital Twins, Synthetic Data Generation, Immersive Multimedia, and Generative AI. - A PhD or equivalent experience in Artificial Intelligence or related research domains. - A proven history of guiding and assisting research & engineering projects. - Technical mentoring experience in areas such as research/engineering projects. - Experience in AI ecosystem development and collaboration initiatives. - Proficiency in coding with Python and using AI/ML libraries such as Pytorch. - Strong knowledge of synthetic data creation, digital twins, immersive multimedia, deep learning, and machine learning methods. - Excellent time management skills, self-motivation, and the ability to work both independently and within a team. - Effective communication skills, enabling you to articulate complex concepts clearly and concisely. 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/
Senior Solutions Architect - Generative AI
NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and implementing workflows based on Pretraining, Finetuning LLMs & Retrieval-Augmented Generation (RAG). As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIA's generative AI technologies. This position requires a deep understanding of language models, particularly open source LLMs, and a strong proficiency in designing and implementing RAG-based workflows. What You Will Be Doing: - Architect end-to-end generative AI solutions with a focus on LLMs training , deployment and Agentic AI workflows. - Collaborate closely with customers to understand their language-related business challenges and design tailored solutions. - Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and Agentic AI capabilities. - Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI software. - Engage directly with customers/partners to understand their requirements and challenges. - Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and Agentic AI workflows and lead the training and optimization of Large Language Models using NVIDIA’s hardware and software platforms. - Implement strategies for efficient and effective training of LLMs to achieve optimal performance. - Design and implement RAG-based workflows to enhance content generation and information retrieval. - Work closely with customers to integrate AI Agents into their applications and systems and stay abreast of the latest developments in language models and generative AI technologies. - Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions. What We Need To See: - Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience - 5+ years of hands-on experience in a technical AI role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs). - Proven track record of successfully deploying and optimizing LLM models for inference in production environments. - In-depth understanding of state-of-the-art language models, including but not limited to GPT, Nemotron, or similar architectures. - Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. - Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs. - Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. - Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. - Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences. Ways To Stand Out From The Crowd : - Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure. - Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. - Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. - Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts. - Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters 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! 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.
Senior Developer Relations Manager - AI Security
We are seeking a highly technical Developer Relations Manager to join our team, with a focus on engaging deep collaborations with the next generation of security companies building solutions for the AI and Agentic era. In this role, you will work directly with security companies, guiding them on how to leverage NVIDIA software stacks when developing solutions to secure AI and Agentic environments and workloads. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What You'll Be Doing: - Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in the AI and Agentic Security industry with cross-functional partners to drive adoption of NVIDIA technologies. - Accelerate critical workloads by demonstrating groundbreaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines. - Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions. - Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies. - Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies. - Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps. What We Need to See: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent practical experience. - 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in AI and Agentic Security - Proven experience leading, partnering, and scaling developer programs at major technology companies, preferably Security Companies. - Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or security frameworks and libraries. - Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives. - Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops Ways to Stand Out from the Crowd: - Hands-on experience building or optimizing vertical-specific solutions (e.g., network stacks, bidding algorithms, data pipelines, etc.). - Familiarity with advanced computing, AI, and/or GPU acceleration platforms (insert relevant stack/libraries for the vertical, e.g., CUDA, Triton, NeMo, DOCA). - Successful history of building and scaling developer communities and delivering impactful technical enablement programs. With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.
Senior Hardware Architect, Deep Learning GPU and S...
At NVIDIA, we push the boundaries of Artificial Intelligence using Deep Learning every day, designing better algorithms, hardware and software. By joining the Compute Deep Learning Architecture team you would be in an outstanding position to influence all three and help us push the boundaries even farther in large number of fields like datacenters and autonomous machines. We are looking for remarkable candidate passionate about AI and Deep Learning as much as we are. Would you like to make a difference? What you'll be doing: - As a member of our Hardware architecture deep learning team, you will contribute to features that help next-generation GPUs and systems advance the state of AI. - This position requires you to collaborate with other hardware and software engineers as well as DL researchers. - Your day to day work will include analyzing the behavior of various deep learning methods on current and future hardware architectures and propose new features to accelerate it. The features could be HW, SW or Algorithmic - usually combining all. - The main focus of this job is from hardware architecture perspective and workload performance. What we need to see: - A degree or equivalent experience in computer science, electrical engineering or related field. - 8+ years of experienc e in at least some of the following relevant areas is required: Performance, Hardware Architecture, Deep Learning analysis. - A familiarity with GPU computing (Nvidia or others) is a plus. - Excellent interpersonal skills, people who like to collaborate and work within a team. - innovation, motivation and passion. Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. An AI-powered robot can communicate and learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun. Come and join us!
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