Six Figure Work

Lead Systems Software Test Engineer – CSP Engagements

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $184,000  to $356,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (45 min ago) · observed since

About this job

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 other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($184,000) is above 55% of the 4,199 Software Engineering roles in California listed on this site; 124 others list the same floor. Their median floor is $176,500; the middle half runs from $149,200 to $204,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Lead Systems Software Test Engineer – CSP Engagements (this listing)$184,000 - $356,500
Senior Software Engineer, Subnet Management$184,000 - $356,500
Senior Software Engineer, AI Networking$184,000 - $356,500
Senior Software Engineer, Machine Learning Safety$184,000 - $356,500
Senior Firmware Security Architect, Networking$184,000 - $356,500
Senior Compiler Engineer - AI$184,000 - $287,500
Senior System Software Engineer, Performance - CUDA Driver$184,000 - $356,500

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara (Levels 4-5 combined)

184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.