NVIDIA
Lead Systems Software Test Engineer – CSP Engagements
$184K–$356K
US, CA, Santa Clara · Full-time · Posted Oct 11, 2026
- Experience
- 8+ years of system software validation experience.
- Education
- BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience).
About the job
Leads validation of NVIDIA datacenter ML software stacks for cloud service provider deployments, from test planning and customer issue triage through release readiness.
What you'll do
- Define validation plans, reproduce and debug customer issues, and validate fixes against partner configurations.
- Review test results, run training and inference performance benchmarks, and publish release-readiness reports.
- Coordinate with CSP and NVIDIA teams on root-cause analysis, environment readiness, and validation tooling.
What they ask for
- Experience in validation, QA, system test, diagnostics, platform bring-up, or release qualification for complex hardware-software systems.
- Strong understanding of server platforms, firmware, drivers, OS integration, networking, and large-scale clusters; hands-on debugging across these layers.
- Proficiency in Python and test automation/infrastructure design; familiarity with Linux, shell scripting, and CI/regression workflows.
- BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience).
Nice to have
- Hands-on experience in cloud and cluster-level deployment and ML Ops.
- Experience running deep learning workloads and related automation.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Linux, Python
AI focus
Validates ML software stacks and training and inference platforms; runs performance benchmarks for training and inference.
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