3 days ago
Base Salary
$152k - $242k/yr
Responsibilities
- Build AI-powered systems that improve software quality, engineering efficiency, and developer workflows.
- Develop workflows that analyze codebases, code changes, and engineering signals to identify issues and support faster decision-making.
- Build and maintain production services and infrastructure for AI-enabled 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 tooling to improve AI system quality, latency, reliability, and cost.
- Drive projects from concept through production deployment, iteration, and continuous improvement.
Requirements
- At least 5 years of proven experience or related experience.
- Bachelor of Science or higher in Computer Science, Engineering, or a related field, or equivalent experience.
- Strong software engineering fundamentals and excellent Python skills, with experience building production-quality systems.
- Hands-on experience building 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 workflows involving commits, branches, diffs, and large multi-repository codebases.
- Ability to solve complex technical problems and work effectively across teams.
- Preferred experience includes developer tools, code intelligence, software quality, testing, debugging, model evaluation, prompt and context design, observability, production monitoring, large-scale software platforms, CI systems, or source-control-based engineering workflows.
Benefits
- Eligible for equity and benefits.
- Expected base salary range is 152,000 USD–241,500 USD, with the base determined by location, experience, and other objective job-related factors.
- Applications are accepted at least until November 3, 2026.
- This posting is for an existing vacancy.
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.