Senior Applied AI Engineer
NVIDIA· Engineer, Sys SW
Santa Clara, CA$152k - $241.5kFull-timePosted 1mo ago
About the role
Senior AI engineer to build AI-powered workflows and services that enhance software quality, engineering efficiency, and developer productivity. Works at the intersection of software engineering, machine learning, and developer tooling to deliver practical, reliable AI-enabled tools for engineering environments.
Responsibilities
- Invent and build AI-powered systems that enhance software quality, engineering efficiency, and developer workflows.
- Develop intelligent workflows for analyzing large codebases, code changes, and engineering signals to help teams identify issues earlier and make faster, better decisions.
- Build and maintain production services and infrastructure for AI-enabled applications, including orchestration, retrieval, evaluation, and monitoring.
- Partner with software engineers and multi-functional teams to understand real workflow problems and translate them into practical AI solutions.
- Evaluate emerging models, frameworks, and tooling to improve quality, latency, reliability, and cost across AI systems.
- Drive projects from early concept through production deployment, iteration, and continuous improvement.
Qualifications
- 5+ years of proven experience or related field.
- Hold a B.S. or higher degree (or equivalent experience) in Computer Science/Engineering and related field
- Strong software engineering fundamentals with excellent Python skills and 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.
- Strong familiarity with Git-based development workflows, including working with commits, branches, diffs, and large multi-repository codebases.
- Track record of solving complex technical problems and working effectively across teams.
Skills
Required:PythonProduction backend systemsLLM-based applicationsGit workflows
Benefits
- equity
- benefits (as listed on NVIDIA benefits page)
Last updated Oct 9, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
More open roles at NVIDIA
- Senior Physical Verification Engineer3d agoEngineer, ASIC
- Senior System Software Engineer, Display Security3d agoEngineer, Sys SW
- Senior FPGA Prototyping Engineer - Hardware3d agoSanta Clara, CA · Engineer, ASIC
- Senior Product Engineer3d agoHybrid (Thailand) · Engineer, Product Development
- Senior Architect - Data Processing Systems, Analytics and Data Intelligence3d agoHybrid (Remote / Local) · Architect