Senior Software Development Engineer in Test - Datacenter Server OS

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 140,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an experienced platform SWQA engineer to own testing for HGX/DGX/MGX servers and CUDA stacks. You will automate server and OS tests, investigate reliability failures, and lead bug lifecycle management in an agile environment.

Ideal candidates have 5+ years in OS/server automation, Python/CI/CD, and strong Linux troubleshooting, plus experience with AI tools and virtualization in Linux environments.

Qualifications

• Bachelor's Degree (or equivalent) in STEM field.
• 5+ years proven experience; or master's degree.
• Experience with Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript.
• Strong Linux troubleshooting in bare-metal and KVM/VMware/Hyper-V.
• Knowledge of AI tools/frameworks (TensorFlow, PyTorch, Cursor, etc.), NLP and LLM benchmarking.
• Experience using AI development tools for test plan creation and automation.
• Experience in firmware, BMC/OpenBMC, storage devices, PCIe, IO sub-devices, CPU/memory, ACPI, UEFI, Redfish.
• GitHub/GitLab/Gerrit, PXE, SLURM, Kubernetes/Docker a plus.

Responsibilities

• Develop and execute NVIDIA HGX/DGX/MGX platform test plans on servers, OS, firmware and CUDA stack.
• Install and test OS, server firmware, and software stacks.
• Drive root cause analysis for reliability and validation failures.
• Build automation front-end and back-end for server and OS testing.
• Review partner test results and prescribe additional reliability testing.
• Work in an agile software team with high production quality standards.
• Manage bug lifecycle and coordinate cross-group solutions.

Skills

CI/CD

Python

SHELL

Ansible

Jenkins

C/C++

Java

JavaScript

Linux

AI tools/Frameworks

DevOps

Kubernetes

Docker

Education

Bachelor's degree in STEM

Master's degree (advantage)

Tools

GitHub/GitLab/Gerrit

PXE

SLURM

Stack/Kubernetes/Docker

Job description

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

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 14, 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.