System Software Engineer - Performance Verification Infrastructure
NVIDIA Corporation (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and maintain automated GPU performance verification pipelines covering workload trace generation to result analysis and correlation with architecture targets.
- Develop performance monitoring infrastructure for consistent observability across simulation, emulation, and silicon environments.
- Build scalable data pipelines and dashboards to visualize and compare performance metrics across builds and environments, coordinating closely with GPU architects and hardware teams.
Minimum Requirements
- Bachelor’s or Master’s in Computer Science, Computer Engineering, or equivalent experience.
- 3+ years of software engineering experience primarily in C++, with Python used for tooling and automation.
- Strong CS fundamentals including data structures, algorithms, OOP, and system design.
- Work Experience Required: 3+ years of software engineering experience (explicit).
Ideal Candidate Profile
- Experienced in full-stack development including backend (Java/Python), REST APIs, and frontend frameworks is advantageous.
- Familiarity with databases (SQL, MongoDB), Git, CI/CD, Kubernetes, Docker, and messaging systems (RabbitMQ) supports performance verification tooling.
- Exposure to GPU/CPU/SoC chip performance verification and AI development tools indicates best strategic fit.