Manager, System Software Engineering – Infrastructure & Automation
NVIDIA · Pune
| Company | NVIDIA |
|---|---|
| Role | Manager, System Software Engineering – Infrastructure & Automation |
| Location | Pune |
| Work mode | On-site |
| Experience | 6+ years |
| Job type | Full-time |
| Qualification | Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering or related field, or equivalent experience |
About this job
NVIDIA is hiring a Manager for System Software Engineering in Pune. You will lead infrastructure and validation teams that support Local AI and PC gaming R&D, including NVIDIA's largest hardware cluster for these areas.
The teams own CI/CD, test automation, failure triage, debugging tools and lab operations for platforms such as RTX PCs, DGX Spark and DGX Station. You will set strategy, plan staffing and capacity, and work closely with driver, graphics and AI teams.
Eligibility
- 10+ years of software engineering, with strong system software or infrastructure work
- At least 3 years in engineering management
- Track record of leading large, high-performing teams
- Deep OS and system programming knowledge: threads, concurrency, memory
- Experience profiling and optimising software across hardware and software layers
Skills required
What you will do
- Build up and lead the infrastructure and validation teams
- Own the roadmap for CI/CD, test automation and lab operations
- Build tests and benchmarks that reflect real-world AI and gaming use
- Create tools to reproduce failures and analyse logs and metrics
- Plan staffing, hardware capacity and schedules with partner teams
How to apply
- Open the official NVIDIA job page with the Apply button and submit your application there.
- Tailor your resume to teams you led, the infrastructure or validation systems you built and their impact on release quality.
Before the interview, prepare:
- Scaling a validation lab: scheduling hardware, health checks and auto-recovery
- CI at scale: test orchestration, flaky tests and triage workflows
- System debugging: concurrency bugs, memory issues and driver-level failures
- Leadership: growing managers, handling conflicting priorities and reporting risk upward
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