NVIDIA Corporation

Senior Software QA Test Development Engineer - Diagnostics

NVIDIA Corporation$140K — $270K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in STEM or equivalent experience
  • 5+ years of relevant experience or a master's degree
  • Experience with OS and server automation, CI/CD, and DevOps tools
  • Strong troubleshooting skills in server and Linux environments
  • Familiarity with AI tools and model testing frameworks like TensorFlow and PyTorch
  • Hands-on knowledge of network protocols and enterprise storage devices
  • Experience with version control systems and orchestration tools is a plus

Responsibilities

  • Develop and execute test plans for NVIDIA platforms
  • Install and test operating systems and software stacks
  • Drive root cause analysis for validation test failures
  • Build and debug automation frameworks for server and OS tests
  • Review supplier test results and recommend reliability testing
  • Collaborate in an agile software development team
  • Manage the bug lifecycle and work with teams to resolve issues

Benefits

  • Equity options
  • Comprehensive health benefits
  • Dynamic work environment
  • Professional development opportunities
  • Flexible working arrangements
Full Job Description
What you'll be doing:
  • Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc.
  • Installing and testing various systems OS, server firmware and SW stack.
  • Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
  • Build, develop/debug server and OS level automation front-end and back-end framework and tests
  • Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed.
  • Work in an agile software development team with very high production quality standards.
  • Manage bug lifecycle and collaborate with inter-groups to drive for solutions.


What we need to see:
  • Bachelor's Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field
  • 5+ years proven experience; or master's degree.
  • Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript
  • Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc...) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment.
  • Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc...), NLP and LLM benchmarking
  • Experience in using AI development tools for test plans creation, test cases development and test cases automation
  • Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus
  • Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) - huge plus


Ways to stand out from the crowd:
  • AI related tools, LLM and NLP.
  • Experience working with NVIDIA GPU hardware is a strong plus.
  • Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)
  • Background in parallel programming ideally CUDA/OpenCL is a plus


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 15, 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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