NVIDIA

NVIDIA

Posted via Workday

Platform Software Validation Engineer - SDET

Apply by Nov 1, 2026

Posted Aug 11, 2026

Role at a glance

Job function
Software Engineering & IT Software Quality Assurance & Testing
Salary
Not Disclosed
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Education
Bachelor's, Master's

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Qualifications

Requires a STEM bachelor’s degree or equivalent experience, or a master’s degree; the posting also specifies 5+ years of experience as an alternative to a master’s degree. Required experience includes server and OS automation, CI/CD and DevOps, Linux troubleshooting, and testing AI tools and frameworks, NLP, and LLM benchmarks. Required technologies and skills include Python, Shell, Ansible, Jenkins, C/C++, Java, JavaScript, and server environments.

Required

  • STEM bachelor’s degree or equivalent experience; alternatively, a master’s degree.
  • 5+ years of proven experience, or a master’s degree.
  • Experience with OS- and server-level automation, CI/CD, and DevOps using Python, Shell, Ansible, Jenkins, C/C++, Java, and JavaScript.
  • Server and Linux troubleshooting and debugging in bare-metal and KVM, VMware, or Hyper-V environments.
  • Knowledge and hands-on experience in model testing, AI tools/frameworks, NLP, and LLM benchmarking.
  • Experience using AI development tools to create test plans, develop test cases, and automate test cases.

Preferred

  • Strong experience with firmware, BMC/OpenBMC, network protocols, enterprise storage, PCIe, I/O devices, CPU and memory, ACPI, UEFI, and...
  • Experience with GitHub, GitLab, Gerrit, PXE, SLURM, and Stack/Kubernetes/Docker (described as a “huge plus”).
  • AI-related tools, LLM, and NLP experience.
  • Experience working with NVIDIA GPU hardware.
  • Understanding of Linux virtualization, including KVM and Docker orchestrated with Kubernetes.
  • Background in parallel programming, ideally CUDA/OpenCL.

About the role

Original posting provided by NVIDIA

View original

NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team.

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

    #SDETSChiring

    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 October 2, 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.

    NVIDIA

    About the company

    NVIDIA

    Large Enterprise

    NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.