Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 7
Debugging @ 4
Deep Learning @ 4
Linux @ 3
Machine Learning
Networking @ 7
Python @ 3
QA @ 4
Reporting @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Responsibilities
- 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.
- Run performance 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.
Requirements
- 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.
Notes
- 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.
- Applications for this job will be accepted at least until July 21, 2026.
More jobs at Nvidia
Ncx Senior Engineer
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
System Test Engineer
Nvidia · Santa Clara, United States
USD 132,000-253,000 per year
Senior Software Engineer, DGX Cloud Orchestration
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Technical Program Manager, Deep Learning Frameworks
Nvidia · Santa Clara, United States
USD 168,000-322,000 per year
Senior Software Engineer, CUDA Core Libraries
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Similar jobs
System Software Engineer, Dynamo-Triton Inference Server - New College Grad 2026
Nvidia · Santa Clara, United States
USD 124,000-241,500 per year
Senior GPU and HPC Infrastructure Engineer - DGX Cloud
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Principal Developer, AI Networking
Nvidia · Santa Clara, United States
USD 272,000-488,800 per year
Senior Software Engineer - Autonomous Driving Simulation
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Principal System Software Engineer - Av Platform
Nvidia · Santa Clara, United States
USD 272,000-431,200 per year
Senior System Software Engineer - AI Performance And Efficiency Tools
Nvidia · Santa Clara, United States
USD 184,000-287,500 per year
Developer Tools DevOps Engineer
Nvidia · Santa Clara, United States
USD 148,000-276,000 per year
Senior Linux Kernel Systems Software Engineer – CSP Engagements
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year