System Software Engineer - Performance Verification Infrastructure

Overview

• 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.