System Software Engineer - Performance Verification Infrastructure
Santa Clara, California, United States · On-site
$124k–$242k/yr
Mid level$29B raised
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: C++, Python, Data Structures, Algorithms, OOP
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NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial int…
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Senior Full Chip Layout and Physical Verification CAD Engineer
Yokneam Ilit, North District, Israel · On-site
Senior$29B raised
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: Full-chip Layout, Physical Verification, DRC, LVS, ANT
As one of the technology industry's most desirable employers, NVIDIA has been redefining accelerated computing, computer graphics and leading the Artificial Intelligence revolution. NVIDIA's innovation is fueled by its g…
Skills: Silicon design, System architecture, Product performance analysis, Power optimization, Market analysis
Principal Software Engineer, E2E Performance and Goodput — CSP Engagements
Santa Clara, California, United States · On-site
$272k–$431k/yr
Senior+$29B raised
We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal point for end-to-end performance, working directly with engineering teams of key CSP/hyperscale customers to ensure they achi…
Skills: GPU Workload Profiling, Distributed Training Performance, Systems Performance Engineering, Statistical Analysis, Python
NVIDIA’s Silicon Co-Design Group sits at the crossroads of architecture, silicon, systems, and manufacturing, where first-principles thinking and engineering judgment at the highest level translate directly into product …
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Principal Software Engineer, GPU Firmware and GPU System Software — CSP Engagements
Santa Clara, California, United States · On-site
$272k–$431k/yr
Senior+$29B raised
We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for GPU firmware and GPU system software, working directly with engineering teams of key CSP / hyperscale cust…
Skills: GPU Firmware, GPU System Software, VBIOS, GPU Architecture, NVLink
Principal Software Engineer, Rack-Scale System Software — CSP Engagements
Santa Clara, California, United States · On-site
$272k–$431k/yr
Senior+$29B raised
We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for rack-scale system SW/FW, working with CSP engineering teams to ensure they can deploy, monitor, and operat…
Skills: System Software, Platform Firmware, Distributed Systems Engineering, Fabric Management, Cluster Management
NVIDIA has continuously reinvented itself for 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…
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Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads. We help AI researchers and platform teams understand end-to-end behavior across GPUs,…
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Senior Technical Program Manager, GenAI and Models
Santa Clara, California, United States · On-site
$168k–$322k/yr
Senior+$29B raised
How do bold AI research ideas become diligent training, evaluation, and production systems? NVIDIA’s Deep Learning Software team is looking for a Senior Technical Program Manager to lead programs across model pre-trainin…
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Senior Machine Learning Engineer - Physical AI and Synthetic Data Generation and Evaluation
Santa Clara, California, United States · On-site
$224k–$431k/yr
Senior+$29B raised
We are looking for outstanding Machine Learning Engineers to join our Physical AI teams. As the pioneers of the GPU—the visual cortex of modern computing—we are building the foundation for the next wave of AI that intera…
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$124k–$242k/yr
Full-time
bachelor degree, postgraduate degree
Equity, Benefits
Posted 11d ago
~40 hrs/week
Responsibilities
Develop end-to-end performance verification infrastructure and scalable data pipelines for GPU architectures. Collaborate with architects and hardware teams to automate workflows and provide performance insights for future builds.
Requirements
Requires a BS/MS in Computer Science or Engineering with 3+ years of software experience in C++ and Python. Strong fundamentals in CS and experience with chip simulation or GPU/CPU profiling are highly preferred.
Full job description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA's GPU Performance Infrastructure team and be part of a brand-new journey in validating and shipping next-generation GPU architectures. At NVIDIA, we empower our engineers to innovate and drive powerful performance through innovative infrastructure and workflows. This role is uniquely positioned to influence the entire lifecycle of GPU performance verification, from early-stage modelling to post-silicon validation. With our bold standards and extraordinary team, you'll have the chance to define a significant impact on the future of computing!
What you'll be doing:
Build and develop end-to-end performance verification infrastructure.
Build scalable data pipelines to surface performance metrics from simulation, emulation, and silicon environments.
Coordinate with GPU architects to craft infrastructure for performance verification of upcoming architectures.
Work closely with HW teams to automate and accelerate verification workflows, enabling faster GPU build iteration.
Empower GPU architects by providing insights to understand current performance and model industry-leading performance for future builds.
Improve the daily workflows of the world's top chip architects, contributing to the creation of the next greatest generation of GPUs!
What we need to see:
BS/MS in Computer Science, Computer Engineering, or equivalent experience.
3+ years of software engineering experience with C++ and Python.
Strong CS fundamentals, including data structures, algorithms, OOP, and system design.
Verilog basics is a strong plus
Experience with chip and/or system simulation/emulation a strong plus.
Exposure to GPU/CPU/SoC chip performance verification and/or profiling on simulation/emulation/silicon is a strong plus.
Familiarity with AI development tools.
Excellent interpersonal skills.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 1, 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.
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