Santa Clara, California, United States · On-site
$224k–$431k/yr
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 i…
Skills: GPU Computing, ML Systems, High-performance Inference, Python, C++
Santa Clara, California, United States · On-site
$136k–$213k/yr
At NVDIA, 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 …
Skills: SDLC Review, Cybersecurity, Open Source Compliance, License Triage, Developer Mentorship
Santa Clara, California, United States · On-site
$184k–$357k/yr
Artificial intelligence is shifting from passive help to autonomous, always-on workflows. Our mission is to make this change seamless, efficient, and secure for millions globally. We seek a Senior Engineer to lead techni…
Skills: Windows OS Internals, C++, Python, CUDA, TensorRT
Westford, Massachusetts, United States · On-site
$136k–$265k/yr
We are now looking for a GPU Verification Engineer - New College Grad 2026! NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world’s leading GPUs. This position offers the opportunity to have rea…
Skills: ASIC Verification, C++, Python, Perl, Shell Scripting
Santa Clara, California, United States · On-site
$184k–$288k/yr
NVIDIA is widely regarded as a top employer within the technology sector. We lead the way in High-Performance Computing, Artificial Intelligence, and Visualization. Our core invention, the GPU, serves as the visual corte…
Skills: Deep Learning, Reinforcement Learning, Python, PyTorch, Transformers
Taipei, Taiwan · On-site
We are looking for an experienced Program Manager to lead and scale service fulfillment and logistics operations in Taiwan. You will design, implement, and continuously improve end-to-end processes for installation, fiel…
Skills: Program Management, Logistics Operations, Supply Chain Management, Vendor Management, 3PL Management
Taipei, Taiwan · On-site
This position will be responsible for board qualification and power measurement of NVIDIA products. Successful candidate will be in a dynamic engineering environment, with the opportunity to participate in a wide variety…
Skills: Board Qualification, Power Measurement, DC-DC Power Solutions, Electrical Performance Testing, Signal Integrity
Santa Clara, California, United States · On-site
$168k–$322k/yr
We are looking for a driven, diligent leader to join our Technical Program Management team for Compute Platform Software. You will work with engineering and product leaders on the planning and execution of programs to de…
Skills: Release Management, Software Engineering, Program Management, Risk Mitigation, KPI Development
Yokneam Ilit, North District, Israel · On-site
NVIDIA Networking HW Qual teram is looking for a System Electrical Characterization and Validation engineer, to take part of Networking system validation and characterization efforts of different platforms and products. …
Skills: Electrical Validation, Analog Circuit Analysis, I/O Protocol, Electrical Compliance, Python
Yokneam Ilit, North District, Israel · On-site
NVIDIA is looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughpu…
Skills: Physical Design, RTL2GDS, Synthesis, Place and Route, Timing Closure
Santa Clara, California, United States · Hybrid
$168k–$311k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years — fueled by great technology and amazing people. As an NVIDIAN, you'll be immersed in a diverse, supportive envi…
Skills: Uvm, Systemverilog, Verilog, Python, C/C++
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA’s accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software. …
Skills: Rust, C++, CUDA, GPU Programming, API Design
Santa Clara, California, United States · On-site
$184k–$357k/yr
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 i…
Skills: Autonomous Driving Systems, AI Foundation Models, System Architecture, Robotics, Embodied AI
Shenzhen, Guangdong Province, China · On-site
NVIDIA has an exciting opportunity for a Sr. Materials Planner in our Quick Turn/ NPI Materials Organization. The position requires exceptional materials management skills and supply planning expertise in a dynamic and f…
Skills: Materials Management, Supply Planning, Procurement, Contract Manufacturing, ERP/MRP
Santa Clara, California, United States · Hybrid
$240k–$380k/yr
At NVIDIA, we meet customers where they are on their AI journey on our GPUs - this means we build best in class frameworks in OSS and support a robust ecosystem of other OSS frameworks. NVIDIA's PyTorch Compilers team bu…
Skills: Product Management, Compiler Design, PyTorch, Systems Architecture, OSS Strategy
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA is seeking an NCX Senior Engineer to join our AI Accelerator team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads! You will deliver hands-on technical assistanc…
Skills: Linux Systems, Kubernetes, Distributed Computing, GPU Scheduling, Python
Seoul, South Korea · On-site
NVIDIA is shaping the future of accelerated computing, physical AI, robotics, and industrial digitalization. Our Omniverse, OpenUSD, Isaac Sim, Isaac Lab, PhysX, Newton, and accelerated computing platforms help teams bui…
Skills: Python, C++, Physical Simulation, Robotics Simulation, Digital Twins
Bengaluru, Karnataka, India · On-site
As the world’s leading accelerated computing company, NVIDIA is paving the way in robotics, self-driving cars, machine learning, supercomputing, and visualization. We are building a team that will help define the next ge…
Skills: C++, Robotics Algorithms, Embedded Systems, Accelerated Computing, Computer Vision
Santa Clara, California, United States · On-site
$168k–$322k/yr
Deep Learning Software is looking for a Technical Program Manager to lead software programs for Deep Learning Training and Inference Frameworks, with the goal of supporting NVIDIA's top AI researchers and software engine…
Skills: Software Program Management, Deep Learning Frameworks, Risk Management, Release Management, Strategic Planning
Raanana, Center District, Israel · On-site
We are seeking a Senior Customer Program Manager - Generative AI to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of…
Skills: Technical Program Management, Generative AI, Cross-functional Leadership, Customer Relationship Management, Product Lifecycle Management
Santa Clara, California, United States • On-site
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The role involves optimizing LLM inference frameworks and model architectures for NVIDIA edge AI hardware. Responsibilities include developing inference recipes, characterizing multi-node behavior, and managing model validation workflows.
Requires a degree in Computer Science or Engineering and over 12 years of experience in GPU computing or ML systems. Candidates must have strong Python/C++ skills and hands-on experience with CUDA or Triton kernel optimization.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA's Local AI team is building the software stack that makes large language models and generative AI applications run at maximum efficiency on NVIDIA edge AI hardware. The AI ecosystem moves fast; our job is to make sure end users get the best experience. We own the platform — performance, CI/CD pipelines, validated recipes, and model bring-up infrastructure — that lets developers run groundbreaking LLMs out of the box. The open-source community builds fast; our platform is what turns community innovation into something developers and partners can rely on at scale.
Track and evaluate innovations in leading open-source LLM inference frameworks — identify performance-critical features and algorithmic improvements relevant to NVIDIA edge AI hardware
Analyze how new model architectures and inference algorithms (attention variants, MoE routing, speculative decoding, multi-token prediction, quantized inference) map onto NVIDIA GPU architecture — identify mismatch, fallback paths, and optimization opportunities
Characterize multi-node inference behavior: collective communication primitives (NCCL/RCCL), topology-aware all-reduce strategies, and parallelism efficiency on edge cluster configurations
Produce performance analysis reports mapping theoretical hardware limits (memory bandwidth, FLOP/s, interconnect throughput) to observed inference throughput, latency, and utilization
Own the model validation workflow for new model releases: architecture compatibility assessment, inference recipe development, performance characterization, and publication to developer recipe sites
Develop and maintain developer-facing inference recipes: keep them accurate as frameworks evolve, automate staleness detection, and build feedback loops from CI results to recipe updates
Engage with community and partners on model bring-up questions; serve as the technical point of contact for hardware-specific inference issues related to partner concerns
BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
12+ years of software engineering with depth in GPU computing, ML systems, or high-performance inference
Strong Python or C++ programming, software design, and software engineering skills.
Hands-on experience with GPU kernel development or optimization (CUDA/C++, Triton, or equivalent) — you understand how thread blocks, memory hierarchy, and warp execution affect real-world performance
Working knowledge of LLM inference internals: attention mechanisms, KV-cache management, continuous batching, quantization formats, and tensor parallelism
Container engineering expertise: multi-architecture Docker or OCI builds, layer optimization, runtime configuration, NVIDIA Container Toolkit
Strong analytical skills: ability to form a performance hypothesis, design an experiment, interpret results, and communicate findings clearly
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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.
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.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
