Lead Systems Software Test Engineer – CSP Engagements

Details

NVIDIA is seeking a Senior Systems Software Test Engineer to join the Cloud Service Provider (CSP) Engagements team. The role focuses on ML software stack validation for datacenter products such as GB200 and Vera Rubin. It combines full-stack validation from cluster to rack scale with customer-facing responsibilities, enabling cloud service providers to deploy high-performance training and inference platforms. You will validate stable and performant technical solutions from concept through deployment, working across hardware and software layers.

Responsibilities

• Define test strategies and validation plans for CSP integration milestones.
• Partner with hyperscalers to understand their testing methodologies, identify gaps, and provide NVIDIA recommendations.
• Reproduce, characterize, and triage customer bugs in customer environments.
• Review internal test plans and results, and publish summary test reports for rack-scale product releases during NPI phases.
• Validate fixes, mitigations, and release updates against deployed CSP software modules and known-good partner configurations.
• Partner with NVIDIA development teams on root-cause analysis and confirm release readiness with clear pass/fail evidence.
• Collaborate with CSP teams on provisioning, access, break-fix workflows, and environment readiness.
• Produce release-readiness summaries for internal stakeholders and partner-facing engineering reviews.
• Manage large testing-output datasets and develop tooling for efficient debug-data retrieval, visualization, and reporting.
• Localize problems with customers using targeted reproduction steps, stress testing, and edge-case testing.
• Run performance benchmarks for training and inference workloads.
• Collaborate with AE, FAE, and Solution Architect teams on customer-issue validation and technical documentation.
• Replicate reported problems in the local lab.

Requirements

• Experience in validation, QA, system testing, diagnostics, platform bring-up, or release qualification for complex hardware-software systems.
• Strong understanding of server platforms, firmware, drivers, operating-system integration, networking, and large-scale cluster environments.
• Hands-on experience debugging issues across hardware, firmware, software, networking, and infrastructure layers.
• Ability to analyze logs, telemetry, diagnostic outputs, automation failures, and system health signals.
• Familiarity with Linux environments, shell scripting, Python or similar automation, and CI/regression workflows.
• Experience creating test plans, regression suites, validation reports, and defect documentation.
• Strong cross-functional communication skills with QA, development, field, support, and customer engineering teams.
• Proficiency in Python, with a strong background in test automation and test infrastructure design.
• Ability to communicate and collaborate effectively with partner and customer teams.
• Bachelor’s or master’s degree in Computer Engineering, Computer Science, or a related field, or equivalent experience.
• 8+ years of system software validation experience.

Preferred Qualifications

• Hands-on experience with cloud and cluster-level deployment and MLOps.
• Experience running deep-learning workloads and related automation.

Benefits

• Equity and benefits are included.
• Applications will be accepted at least until August 3, 2026.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.