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.
Security @ 4
Software Development @ 4
Docker @ 4
Kubernetes @ 4
TypeScript @ 7
Python @ 4
CI/CD @ 3
Bash @ 4
HTML @ 3
JavaScript @ 3
React @ 3
CSS @ 3
Debugging @ 4
API @ 3
JWT @ 3
OAuth @ 3
LLM @ 4
GPU @ 4
AI @ 4
RAG @ 4
Prompt Engineering @ 4
- 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.
Details
We are looking to hire a Senior Software Engineer to join the Test Solutions Group at NVIDIA, developing infrastructure software and manufacturing test solutions for Datacenter and Enterprise products. In this role you will collaborate closely with hardware design, test engineering, product engineering, and software teams to enable NVIDIA’s next-generation GPU and CPU-based server products.
This role is ideal for someone who is passionate about building scalable internal tools, modern web-based platforms, and AI-enhanced workflows that improve engineering productivity, diagnostic development, test automation, and manufacturing operations.
Responsibilities
- Develop industry-standard three-tier web-based IDEs and platforms to automate and intelligentize diagnostic creation, verification, validation, and release for NVIDIA system-level products (GeForce, Quadro, HGX, DGX).
- Build universal frameworks to standardize diagnostic structures, workflows, metadata, and release processes across NVIDIA products.
- Develop and maintain diagnostic management systems to handle, optimize, and automate the release process for NVIDIA board and system products.
- Design and implement AI-assisted tools and workflows to improve engineering productivity, including AI-powered search, code generation, documentation assistance, log analysis, test result summarization, workflow automation, and intelligent troubleshooting.
- Apply modern AI technologies (LLMs, RAG, agents, function calling, semantic search, workflow orchestration) to upgrade TSG’s infrastructure platforms and internal engineering tools.
- Work closely with Test Development Engineering, Product Development Engineering, Software Engineering, and Operations teams to solve infrastructure, security, automation, and development challenges.
- Explore and evaluate new AI tools, frameworks, and practices; apply them pragmatically to improve software delivery, test infrastructure, and manufacturing support workflows.
Requirements
- BS in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience, with 5+ years of related software development experience.
- Strong understanding of full-stack application development: frontend, backend, database, deployment, and system integration.
- Excellent Python programming skills and bash scripting experience.
- Solid experience with database design: crafting schemas, efficient queries, execution plans, and indexes.
- Familiarity with JavaScript, React, CSS, and HTML. Experience with yarn or npm is required. TypeScript, Create React App, Webpack, or modern frontend build systems are strong pluses.
- Familiarity with authentication and security concepts (NTLM, OAuth, JWT, role-based access control) and secure API design.
- Familiarity with best software development practices: documentation, testing, code review, CI/CD, containerization, and reliable production deployment.
- Hands-on experience using AI tools to improve software development productivity (coding assistants, AI-based debugging, documentation/test generation, workflow automation).
- Practical understanding of AI application development concepts: LLM APIs, prompt engineering, retrieval-augmented generation, vector databases, AI agents, tool/function calling, and model evaluation.
- Passion for using AI to modernize engineering workflows, automate repetitive processes, and improve internal tools for cross-functional teams.
Ways to stand out
- Experience building AI-powered internal tools, developer productivity platforms, chatbots, agents, or automation systems.
- Experience working with manufacturing test, hardware diagnostics, lab automation, product validation, or large-scale engineering operations.
- Experience integrating enterprise data sources, internal APIs, documentation systems, logs, or test databases into AI-assisted workflows.
- Experience with containerized services, Kubernetes, Docker, GitLab CI/CD, or cloud/on-prem infrastructure.
Compensation & Benefits
- Base salary ranges: Level 3: 132,000 USD - 207,000 USD; Level 4: 152,000 USD - 253,000 USD.
- You will also be eligible for equity and benefits (link to NVIDIA benefits referenced in the posting).
Additional information
- Applications for this job will be accepted at least until June 20, 2026. This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and includes a diversity and non-discrimination statement in the posting.