- Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience), with 12+ years in software engineering — ideally in platform engineering, infrastructure, or developer tools
- Experience building and scaling AI agents in production using frameworks like Claude Code, Codex, or LangGraph
- Deep Kubernetes expertise including pod orchestration, persistent storage, RBAC, and multi-cluster management
- Strong Python skills with production API experience using FastAPI, Flask, or similar async frameworks
- Proven track record designing distributed systems with Kafka, Redis, and MongoDB or PostgreSQL
- Expertise building and managing robust CI/CD pipelines using GitLab CI and ArgoCD for continuous delivery to Kubernetes
- Experience designing AI data platform components (ingestion pipelines, vector stores, retrieval APIs, data preprocessing workflows) and building developer-facing platform APIs consumed by multiple engineering teams
- Solid grasp of auth and identity: OAuth 2.0, JWT, token exchange, and secrets management with Vault
- History of leading sophisticated technical projects such as migrations or greenfield platform builds, with strong interpersonal skills to drive alignment across teams and write clear design documents
Ways to stand out from the crowd
- Experience building or operating AI agent platforms or agentic workflow systems, with hands-on expertise in agent protocols and frameworks like MCP, A2A, LangChain, or LangGraph
- Hands-on experience with RAG architectures, embedding pipelines, and vector databases (Milvus, Pinecone, or Weaviate)
- Full-stack skills with React or Vue for building developer portals and dashboards
- Contributions to open-source infrastructure or platform tooling
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 200,000 USD – 322,000 USD for Level 5; and 248,000 USD – 391,000 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.