Senior Software SDET Test Development Engineer

at Nvidia

📍 Santa Clara, United States

USD 140,000-270,200 per year

SENIOR

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Software Development @ 4 Ansible @ 4 CentOS @ 7 Docker @ 3 Jenkins @ 4 Kubernetes @ 3 Linux @ 7 DevOps @ 7 Python @ 4 Java @ 4 GitHub @ 3 CI/CD @ 4 TensorFlow @ 4 JavaScript @ 4 Parallel Programming @ 4 Debugging @ 4 NLP @ 7 LLM @ 4 PyTorch @ 4 Agile @ 4 CUDA @ 4 GPU @ 4 AI @ 4 OpenCL @ 4 Slurm @ 3

Details

NVIDIA is the world leader in GPU computing, positioned as an AI Computing Company. This role is for a candidate with enterprise server integration, strong Linux experience, reliability testing with telemetry, scale-out cluster experience, test plan development, AI tools/NLP background, and DevOps/CI-CD experience to join the platform SWQA team.

Responsibilities

Develop and execute NVIDIA HGX/DGX/MGX platform test plans on servers, OS, firmware and CUDA software stack from design documentation.
Install and test various system OS, server firmware and software stacks.
Drive root cause analysis for reliability and validation test failures and implement mitigations.
Build, develop and debug server- and OS-level automation front-end and back-end frameworks 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 high production quality standards.
Manage bug lifecycle and collaborate across groups to drive for solutions.

Requirements

Bachelor’s degree (or equivalent experience) in a STEM field. Master’s degree or 5+ years of proven experience preferred.
Proven experience in OS and server-level automation, CI/CD processes and DevOps using technologies such as Python, Shell, Ansible, Jenkins, C/C++, Java, JavaScript.
Strong server and Linux (Ubuntu, RedHat, CentOS, SuSE, Fedora, etc.) troubleshooting and debugging experience in bare-metal and KVM/VMWare/Hyper-V environments.
Hands-on experience in model testing and AI frameworks/tools (TensorFlow, PyTorch, Cursor, etc.), plus NLP and LLM benchmarking.
Experience using AI development tools for test plan creation, test case development and test case automation.
Experience with firmware (FW), BMC/OpenBMC, network protocols, enterprise storage devices, PCIe buses/devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, and Redfish is a strong plus.
Familiarity with GitHub/GitLab/Gerrit, PXE, SLURM, Kubernetes, Docker, and container/orchestration tooling is a plus.

Ways to Stand Out

Experience with AI-related tools, LLMs and NLP.
Experience working with NVIDIA GPU hardware is a strong plus.
Solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes).
Background in parallel programming, ideally CUDA/OpenCL.

Compensation

Base salary ranges by level:
- Level 3: 140,000 USD - 224,250 USD
- Level 4: 168,000 USD - 270,250 USD
Eligible for equity and benefits.

Benefits

Eligible for equity and company benefits (see https://www.nvidia.com/en-us/benefits/).

Additional Information

Applications accepted at least until February 28, 2026.
This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer and values diversity.