We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience)
- 8+ 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
Benefits
- Base salary determined based on location, experience, and pay of similar positions
- Equity
- Benefits
