NVIDIA is seeking a Senior Systems Software test (lead) Engineer to join our Cloud Service Provider (CSP) Engagements team, focusing on ML software stack validation for Datacenter products such as GB200 and Vera Rubin. This role combines deep technical expertise from cluster to rack scale full-stack validation with customer-facing responsibilities, enabling cloud service providers with next-generation high-performance training and inference platforms. You will work at the intersection of hardware and software, validating stable and performant technical solutions from concept through deployment.
What you will be doing:
Define test strategy and test validation plans for CSP integration milestones, partner with hyper scalars to understand their test methodology, identify gaps and provide NVIDIA recommendations.
Reproduce, characterize, and triage customer bugs in the customer environment. Review internal test plans, test results, and publish summary test report for each release for the rack scale product during NPI phases.
Validate fixes, mitigations, and release updates against deployed CSP software modules and known-good partner configurations.
Partner with NVIDIA development teams to drive 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 concise release-readiness summaries for internal stakeholders and partner-facing engineering reviews.
Manage large datasets of testing output and develop tooling for efficient retrieval of debug data, visualization, and reporting experience with tools.
Work with customers to localize problems using targeted reproduction steps by enabling stress and edge-case testing to assist development teams.
Running perf benchmarks for both training and inference. Collaborate with AE, FAE, and Solution Architect teams on validation for customer issues and technical documentation. Replicate the reported problems in the local lab
What we need to see:
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 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.
Proficient in Python with strong background in test automation and test infrastructure design. Able to communicate effectively and collaborate with partner and customer teams.
BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience).
8+ years of system software validation experience.
Ways to stand out from the crowd:
Hands-on experience in cloud and cluster-level deployment and ML Ops.
Experience in running deep learning workloads and related automation
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and self-motivated, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Experience in validation, QA, system test, diagnostics, platform bring-up, or release qualification for complex hardware-software systems.
- Strong understanding of server platforms, firmware, device drivers, OS 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.
- Proficient in Python with strong background in test automation and test infrastructure design.
- BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience).
- 8+ years of system software validation experience.
- Hands-on experience in cloud and cluster-level deployment and MLOps.
- Experience running deep learning workloads and related automation.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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