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:
Design and maintain automated chip performance verification pipelines spanning workload trace generation, multi-target test execution, results post-processing, and correlation with architectural performance targets.
Develop performance monitoring and measurement infrastructure that provides consistent observability across simulation, emulation, and silicon environments.
Build scalable data pipelines and full-stack dashboards to ingest, visualize, and compare performance metrics across builds and 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, primarily in C++, with Python for tooling and automation.
Strong CS fundamentals, including data structures, algorithms, OOP, and system design.
Full-stack experience with backend (Java/Python), REST APIs, and modern frontend (React/Ember) for data-intensive applications is a plus.
Proficiency in databases (SQL, MongoDB) for metrics storage and querying is a plus.
Hands-on experience with Git, CI/CD, Kubernetes, Docker, and messaging systems (RabbitMQ) is a plus.
Exposure to GPU/CPU/SoC chip performance verification is a plus.
Familiarity with AI development tools.
Excellent interpersonal skills.
#LI-Hybrid
Skills Required
- BS or MS in Computer Science, Computer Engineering, or equivalent experience
- 3+ years of software engineering experience
- Primary proficiency in C++
- Python experience for tooling and automation
- Strong fundamentals in data structures, algorithms, object-oriented programming, and system design
- Full-stack experience with Java or Python backend, REST APIs, and React or Ember frontend
- Proficiency with SQL or MongoDB databases
- Hands-on experience with Git, CI/CD, Kubernetes, Docker, and RabbitMQ
- Exposure to GPU, CPU, or SoC chip performance verification
- Familiarity with AI development tools
- Excellent interpersonal skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
