Senior Staff Software Engineer - AI Agent Platform

We are looking for a Sr. Engineer to design, build, and scale the infrastructure

powering NVIDIA’s AI agent ecosystem. You will work at the intersection of

distributed systems, developer platforms, and agentic AI — building the

foundational services that enable teams across the company to develop, deploy,

orchestrate, and operate autonomous AI agents at production scale. What you will

be doing: Build and develop platform services that own the full agent lifecycle

from registration through deployment, execution, and teardown Architect

Kubernetes-based execution environments with pod lifecycle management, namespace

isolation, persistent storage, and identity propagation Develop and maintain

automated CI/CD pipelines using GitLab CI and ArgoCD, including reusable

pipeline templates and deployment blueprints that standardize how agents are

built across teams Build framework-agnostic infrastructure supporting multiple

agent SDKs (Claude Code, OpenAI Codex, LangGraph), with hands-on experience

using harnesses, lifecycle hooks, skills configurability, observability (OTEL),

and memory services Build and operate Kafka-based message pipelines and

real-time event streaming using Redis PubSub and SSE Develop data ingestion

pipelines, access interfaces, and storage layers that power AI agent knowledge

and context Implement session management for state persistence, conversation

history, and agent recovery across sessions Develop multi-layer auth using OAuth

2.0, JWT validation, token exchange, and gateway integration, and manage secrets

lifecycle with Vault (provisioning, rotation, container injection) Partner with

security teams on compliance, access controls, and approval workflows for agent

operations What we need to see: 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 the pay of employees in similar positions. The base salary range

is 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 May 9, 2026. This posting is for an

existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is

committed to fostering 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. NVIDIA pioneered

accelerated computing. Today, our AI infrastructure powers global intelligence,

transforming every industry. Learn more about NVIDIA.