NVIDIA Corporation

Lead Systems Software Test Engineer - CSP Engagements

NVIDIA Corporation$184K — $356K *
Telecommunications & Hardware
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of system software validation experience.
  • BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience).
  • Proficient in Python with a background in test automation and test infrastructure design.
  • Strong understanding of server platforms, firmware, drivers, OS integration, networking, and large-scale cluster environments.
  • Experience debugging issues across hardware, firmware, software, networking, and infrastructure layers.
  • Ability to analyze logs, telemetry, diagnostic outputs, automation failures, and system health signals.
  • Strong cross-functional communication skills with QA, development, field, support, and customer engineering teams.

Responsibilities

  • Define test strategy and validation plans for CSP integration milestones in collaboration with partners.
  • Reproduce and triage customer bugs in real-time environments.
  • Validate fixes and release updates against deployed software modules.
  • Partner with development teams for root-cause analysis and confirm release readiness.
  • Collaborate with CSP teams on provisioning, workflows, and release readiness summaries.
  • Manage and develop tools for analyzing large datasets from testing outputs.
  • Run performance benchmarks for ML training and inference, assisting teams with technical documentation.

Benefits

  • Eligible for equity and competitive benefits package.
Full Job Description
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


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 June 29, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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