Senior Software QA Test Development Engineer - Diagnostics

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 HPC Java @ 4 JavaScript @ 4 Jenkins @ 4 Kubernetes @ 1 LLM @ 4 Linux @ 4 Mathematics @ 4 NLP @ 4 Networking OpenCL @ 6 Parallel Programming @ 6 PyTorch @ 4 Python @ 4 Slurm @ 1 Software Development @ 4 TensorFlow @ 4

Details

NVIDIA is the world leader in GPU computing, serving markets including gaming, automotive, vision, high-performance computing, data centers, networking, and AI computing. The Platform Software Quality Assurance team is seeking an experienced engineer with enterprise server integration, Linux, reliability testing, scale-out clusters, test plan development, AI tools, NLP, DevOps, and CI/CD experience.

Responsibilities

Develop and execute NVIDIA HGX, DGX, and MGX platform test plans covering servers, operating systems, firmware, and the CUDA software stack from design documents.
Install and test various operating systems, server firmware, and software stacks.
Support root cause analysis for reliability and validation test failures, identifying causes and achieving mitigation.
Build, develop, and debug server- and operating-system-level automation frameworks and tests, including front-end and back-end components.
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.
Five or more 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, 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.
Knowledge of and 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.
Experience with firmware, BMC/OpenBMC, network protocols, enterprise storage devices, PCIe buses and devices, I/O sub-devices, CPU and memory, ACPI, and UEFI specifications is a strong plus.
Experience with GitHub, GitLab, Gerrit, PXE, SLURM, Kubernetes, and Docker is a strong 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

Base salary range for Level 3: USD 140,000–224,250 per year.
Base salary range for Level 4: USD 168,000–270,250 per year.
Compensation is determined based on location, experience, and the pay of employees in similar positions.
Eligible employees may also receive equity and benefits.
Applications will be accepted at least until August 15, 2026.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.