Platform Software Validation Engineer - SDET

We Love AI Jobs; Santa Clara, Northern (CA, KY); Hybrid; USD 140,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA SDET role at We Love AI Jobs focuses on validating NVIDIA server platforms, OS, firmware, and CUDA software stacks. You’ll build automation and investigate reliability failures while collaborating with platform teams on testing that includes AI tools, model testing, and LLM benchmarking.

This on-site position emphasizes robust test plans and cross-team coordination to ensure product reliability. Requires a 5+ year track record, Linux expertise, and strong Python/CI/CD skills.

Qualifications

• 5+ years proven experience in OS and server level automation, CI/CD, and DevOps.
• Experience validating platform test plans across servers, OS, firmware, and CUDA software.
• Strong Linux troubleshooting and debugging in bare-metal and virtualized environments.

Responsibilities

• Develop and execute platform test plans covering servers, operating systems, firmware, and CUDA software.
• Build and debug server- and OS-level automation frameworks and tests.
• Investigate reliability failures, manage bugs, and coordinate mitigations across teams.
• 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 as needed.
• Work in an agile software development team with high production quality standards.
• Manage bug lifecycle and collaborate with inter-groups to drive for solutions.

Skills

Python

Shell

Ansible

Jenkins

Linux

TensorFlow

PyTorch

Cursor

C/C++

Java

JavaScript

DevOps

Education

Bachelor's Degree in STEM

Tools

GitHub/GitLab/Gerrit

PXE

SLURM

Kubernetes

Docker

Job description

This SDET role validates NVIDIA server platforms and their operating system, firmware, and CUDA software stacks. You’ll build automation and investigate reliability failures while collaborating with platform teams on testing that includes AI tools, model testing, and LLM benchmarking.* Permanent* 5+ years* Bachelor’s Degree or equivalent experience### Skills and expertisePythonShellAnsibleJenkinsLinuxTensorFlowPyTorchCursor### Key responsibilities* Develop and execute platform test plans covering servers, operating systems, firmware, and CUDA software.* Build and debug server- and OS-level automation frameworks and tests.* Investigate reliability failures, manage bugs, and coordinate mitigations across teams.## How this job comparesCompared with 1,635 open senior engineering jobs on October 10, 2026.Pay: This job pays $140K to $270K a year. The 719 open senior engineering jobs that publish US pay start at $164K on average, so this job starts about 15% lower.Similar open jobs: We Love AI Jobs lists 1,635 open senior engineering jobs at 344 companies.Remote work: This job is on site. 271 of the 1,635 senior engineering jobs (17%) are remote.AI in this role: Medium. The role uses AI tools and works with AI systems as a regular part of the job. The role includes model testing, AI tools and frameworks, NLP, and LLM benchmarking, as well as using AI development tools to create tests. Its primary focus remains platform validation rather than building AI products.## Full descriptionNVIDIA 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 plusWays 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#SDETSChiringYour 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.