2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design and implement highly available automation systems, developer tooling, and intelligent dashboards for DriveOS builds and releases.
- Shape infrastructure roadmaps and consolidate tooling initiatives across a globally distributed organization.
- Architect AI-native pipelines using LLM agents, RAG systems, and multi-agent orchestration for engineering workflows.
- Build process-automation solutions aligned with ISO 26262, ISO 21434, and ISO 25010 expectations.
- Develop data pipelines that aggregate telemetry and provide visualization and predictive quality metrics.
- Evaluate and operationalize code-generation copilots, agentic coding assistants, and automated documentation tools.
- Define governance for AI-assisted outputs, including traceability, auditability, and compliance in safety-certified processes.
- Establish tooling architecture guidelines and coach engineers at all levels.
Requirements
- BS or MS in Computer Science, or equivalent experience.
- At least 8 years of experience in infrastructure, DevOps, or software tooling.
- Strong Python proficiency and understanding of tooling architecture and design patterns.
- Experience managing enterprise-scale CI/CD environments such as GitLab CI or Jenkins and infrastructure-as-code tools such as Terraform or Ansible.
- Experience building production-grade full-stack systems with Python, Node.js, Go, GraphQL, relational and NoSQL datastores, Neo4j, React, Next.js, or TypeScript.
- Hands-on experience deploying LLM and agentic applications, including agent frameworks, tool integration, MCP-based systems, memory, orchestration, prompt engineering, guardrails, evaluation, and RAG or GraphRAG architectures.
- Experience building internal developer portals, AI-powered interfaces, and conversational user interfaces.
- Strong SQL and data-warehousing skills for high-volume metrics.
- Experience with distributed organizations, regulated industries, extensible tooling platforms, VS Code extensions, IDE plugins, CLI toolchains, or AI evaluation harnesses is preferred.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until October 9, 2026.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.