Our team writes tools to automate the hardest parts of chip design - real systems operating at all levels of the software stack that orchestrate, collect, process, and make sense of data across multiple dependent workloads. We're looking for a senior software engineer to stand at the forefront of AI innovation in this space. If you're an AI-savvy builder who's ready for the unique and tantalizing challenges of modern VLSI software development, this role is for you!
What you'll be doing:
As our lead AI engineer, you'll work side-by-side with senior staff to develop systems for a broad range of applications, from data collection and analysis to MCP servers and agentic workflows over our powerful in-house orchestration APIs. You'll use NVIDIA's abundant cloud compute to research and deploy any resources those systems need, take part in critical decisions about which technologies to employ, and assume senior duties in mentoring, code review, and instruction initiatives for the entire team.
Innovation and a startup mentality tempered by quality and maintainability standards are in the team's DNA. Valuable ideas from anyone - junior or senior, newcomer or veteran - are rewarded with the time and creative freedom to bring the vision to life. Come build with us!
What we need to see:
BS/MS in CS/EE (or equivalent) with strong CS fundamentals
5+ years production Python; solid software engineering (APIs, testing, CI/CD)
Proven agentic LLM workflow experience (tool/function calling, orchestration, guardrails)
Classical ML fundamentals (supervised/unsupervised, feature engineering, evaluation)
RAG/IR familiarity (embeddings, vector stores, evaluation)
Data & infra: SQL/NoSQL and ETL over logs/metrics
Ownership and collaborative delivery across teams
Ways to stand out from the crowd:
Knowledge of VLSI/EDA software methodologies and computing environments
Strong foundation in data structures and algorithms
In-depth understanding of how LLMs work
Experience with distributed systems, CI/CD, K8s, and/or Git
NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
