Senior Software Development Engineer in Test - Datacenter Server OS

at Nvidia

USD 140,000-270,200 per year

SENIOR

✅ On-site

Tech Stack
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.

AI @ 4 Agile Ansible @ 4 CI/CD @ 4 CUDA @ 6 Debugging @ 7 DevOps @ 4 Docker @ 1 GPU @ 4 GitHub @ 1 Java @ 4 JavaScript @ 4 Jenkins @ 4 Kubernetes @ 1 LLM @ 4 Linux @ 7 Mathematics @ 4 NLP @ 4 OpenCL @ 6 Parallel Programming @ 6 PyTorch @ 4 Python @ 4 Slurm @ 1 TensorFlow @ 4

Details

NVIDIA is seeking an outstanding software quality assurance professional to join its platform SWQA team. The role focuses on enterprise server integration, Linux, reliability testing, scale-out clusters, test plan development, AI tools and NLP, DevOps, and CI/CD for NVIDIA HGX, DGX, and MGX platforms.

Responsibilities

Develop and execute test plans for NVIDIA HGX, DGX, and MGX platforms covering servers, operating systems, firmware, and the CUDA software stack based on design documentation.
Install and test operating systems, server firmware, and software stacks.
Support root cause analysis for reliability and validation test failures and drive mitigation.
Build, develop, and debug server- and operating-system-level automation frameworks and tests.
Review partner and supplier test results and prescribe additional reliability testing for components, servers, and packaging as needed.
Work in an agile software development team with high production-quality standards.
Manage the bug lifecycle and collaborate across groups to drive solutions.

Requirements

Bachelor's degree, or equivalent experience, in a STEM field such as science, technology, engineering, mathematics, or physics.
At least 5 years of proven experience, or a master's degree.
Experience with operating-system and server-level automation, CI/CD processes, and DevOps using Python, shell scripting, Ansible, Jenkins, C/C++, Java, and JavaScript.
Strong server and Linux troubleshooting and debugging experience in bare-metal and KVM, VMware, or Hyper-V environments.
Hands-on experience with model testing, AI tools and frameworks such as TensorFlow, PyTorch, and Cursor, as well as NLP and LLM benchmarking.
Experience using AI development tools to create test plans, develop test cases, and automate test cases.
Background in firmware, BMC/OpenBMC, network protocols, enterprise storage devices, PCIe buses and devices, I/O sub-devices, CPU and memory, ACPI, and UEFI.
Experience with Redfish, GitHub, GitLab, Gerrit, PXE, SLURM, Docker, and Kubernetes is a plus.

Preferred Qualifications

Experience with AI-related tools, LLMs, and NLP.
Experience working with NVIDIA GPU hardware.
Understanding of Linux virtualization, including KVM and Docker orchestrated with Kubernetes.
Background in parallel programming, ideally CUDA or OpenCL.

Compensation and Benefits

The base salary range is $140,000–$224,250 USD for Level 3 and $168,000–$270,250 USD for Level 4. Compensation is determined by location, experience, and pay for employees in similar positions. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until August 24, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.