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
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