Lead Systems Software Test Engineer – CSP Engagements

NVIDIA is hiring a Lead Systems Software Test Engineer – CSP Engagements in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Replicate, CUDA and Nsight.
Level classifies it as a lead role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Lead software test engineer focusing on ML software stack validation and high-performance training and inference platforms for datacenters.

replicatecudansight

ml-opsvalidationqasystem-testdebuggingfirmwarenetworkingbenchmarking

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.

Applications for this job will be accepted at least until September 10, 2026.

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.

How we rate this

Lead Systems Software Test Engineer – CSP Engagements at NVIDIA rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Lead Systems Software Test Engineer – CSP Engagements is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $184k-$288k a year.
The role is based in US, CA, Santa Clara.
The job was posted on September 6, 2026.
Seniority: lead.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsValidationQaSystem TestDebuggingFirmwareNetworkingBenchmarking

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where validation was part of your work. What did you do?
Tell me about a project where qa was part of your work. What did you do?
Tell me about a project where system test was part of your work. What did you do?
Tell me about a project where debugging was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, Validation, Qa, System Test, and Debugging. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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