1 day ago
Base Salary
$152k - $242k/yr
Responsibilities
- Build AI-powered systems that improve software quality, engineering efficiency, and developer workflows.
- Develop workflows that analyze large codebases, code changes, and engineering signals to identify issues and support decision-making.
- Build and maintain production services and infrastructure for AI applications, including orchestration, retrieval, evaluation, and monitoring.
- Partner with software engineers and cross-functional teams to translate workflow problems into practical AI solutions.
- Evaluate models, frameworks, and tools to improve AI-system quality, latency, reliability, and cost.
- Drive projects from conception through production deployment, iteration, and continuous improvement.
Requirements
- At least 5 years of proven experience or related experience.
- B.S. or higher degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Strong software engineering fundamentals and excellent Python skills.
- Experience building production-quality systems and deploying AI or ML systems, data-intensive backend services, or intelligent automation workflows.
- Experience with LLM-based applications, retrieval-augmented generation, agentic workflows, or orchestration frameworks.
- Familiarity with Git-based development, including commits, branches, diffs, and large multi-repository codebases.
- Track record of solving complex technical problems and collaborating effectively across teams.
- Preferred experience includes AI systems for developer tools, code intelligence, software quality, testing, or debugging; model evaluation; prompt and context design; observability; production monitoring; large-scale software platforms; CI systems; and source-control-based engineering workflows.
Benefits
- Eligible for equity and benefits.
- Base salary range is 152,000 USD to 241,500 USD.
- Applications will be accepted at least until September 18, 2026.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.