GPU Performance Infrastructure Engineer

Join NVIDIA's GPU Performance Infrastructure team to validate and ship next-generation GPU architectures. You'll influence the entire lifecycle of GPU performance verification, from early-stage modelling to post-silicon validation.

Responsibilities:

• Design and maintain automated chip performance verification pipelines
• Develop performance monitoring and measurement infrastructure
• Build scalable data pipelines and full-stack dashboards
• Coordinate with GPU architects to craft infrastructure for performance verification
• Work closely with HW teams to automate and accelerate verification workflows
• Empower GPU architects by providing insights to understand current performance
• Improve daily workflows of top chip architects

Requirements:

• 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) is a plus
• Proficiency in databases (SQL, MongoDB) 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