System Software Engineer - Performance Verification Infrastructure

Overview

System Software Engineer for NVIDIA’s GPU Performance Infrastructure team, validating and shipping next-generation GPU architectures across the performance verification lifecycle.

What you'll do

• Design and maintain automated chip performance verification pipelines covering trace generation, test execution, results post-processing, and correlation to architectural targets.
• Develop performance monitoring and measurement infrastructure for observability across simulation, emulation, and silicon.
• 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 with hardware teams to automate and accelerate verification workflows.
• Provide insights on current performance and modeling for future builds.

What you'll need

• BS/MS in Computer Science, Computer Engineering, or equivalent experience.
• 3+ years of software engineering experience, primarily in C++.
• Python experience for tooling and automation.
• Strong fundamentals in data structures, algorithms, OOP, and system design.
• Excellent interpersonal skills.

Nice to have

• Full-stack experience with backend (Java/Python), REST APIs, and modern frontend (React/Ember).
• Proficiency with databases (SQL, MongoDB) for metrics storage and querying.
• Hands-on experience with Git, CI/CD, Kubernetes, Docker, and RabbitMQ.
• Exposure to GPU/CPU/SoC chip performance verification.
• Familiarity with AI development tools.

Details

• Location: Bengaluru, India.
• Work mode: #LI-Hybrid.