System Software Engineer - Performance Verification Infrastructure
NVIDIAJob Title
System Software Engineer - Performance Verification Infrastructure
Role Summary
Join NVIDIA's GPU Performance Infrastructure team to build tools and pipelines for validating GPU performance across simulation, emulation, and silicon. The role supports GPU architects and hardware teams to verify performance from early-stage modeling through post-silicon validation.
Primary responsibilities include developing automated verification pipelines, observability tooling, and scalable data infrastructure for performance metrics.
Experience Level
Mid-level. Typically requires 3+ years of relevant software engineering experience.
Responsibilities
Design, implement, and maintain infrastructure and workflows for performance verification.
- Design and maintain automated chip performance verification pipelines: workload trace generation, multi-target test execution, results post-processing, and correlation with architectural performance targets.
- Develop performance monitoring and measurement infrastructure with consistent 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 for faster GPU build iteration.
- Provide performance insights to architects and help model industry-leading performance for future builds.
Requirements
Core qualifications and skills required or strongly preferred.
- 3+ years of software engineering experience with primary development in C++ and Python for tooling and automation (must-have).
- Strong computer science fundamentals: data structures, algorithms, object-oriented design, and system design (must-have).
- Experience with backend services and REST APIs; modern frontend frameworks (React/Ember) for data-intensive applications (nice-to-have).
- Proficiency with databases (SQL, MongoDB) for metrics storage and querying (nice-to-have).
- Hands-on experience with Git, CI/CD, Kubernetes, Docker, and messaging systems such as RabbitMQ (nice-to-have).
- Exposure to GPU/CPU/SoC performance verification and familiarity with AI development tools (nice-to-have).
- Strong interpersonal and collaboration skills (must-have).
Education Requirements
BS or MS in Computer Science, Computer Engineering, or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
