System Software Engineer - Performance Verification Infrastructure

About the role

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 do

• Design and maintain automated chip performance verification pipelines spanning workload trace generation, multi-target test execution, results post-processing
• 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

What you need

• 3–6 years in software engineering
• Data structures
• Python
• System design
• C++
• ETL
• B.Sc or M.Sc or B.Tech or B.E.

Good to have

• REST APIs
• SQL
• Java
• Git
• MongoDB
• Kubernetes