Senior Software Engineer, Infrastructure and Tooling - DriveOS

NVIDIA is harnessing the power of AI and high-performance computing to build the future of mobility. DriveOS is the software platform behind autonomous vehicles and other intelligent machines, combining system software, virtualization, and accelerated computing capabilities for safety-critical applications. Our Infrastructure and Tooling team makes the engineering environment behind that platform coherent, practical, and scalable - and we're looking for a Senior Software Engineer to help shape it.

This role combines software engineering and AI-enabled automation with first-principles thinking: building tools that help teams deliver reliable software and evidence that is fit for product risk. You will help a globally distributed organization turn quality, safety, and cybersecurity expectations into integrated engineering workflows - embedding intelligent agents, automated reasoning, and data-driven insights where they improve development efficiency and product quality.

• Design and implement highly available automation systems, developer tooling, and intelligent dashboards that improve and monitor the quality of DriveOS builds and releases.
• Partner with teams across the organization to shape infrastructure roadmaps and consolidate tooling initiatives.
• Architect AI-native pipelines that integrate LLM-based agents, RAG systems, and multi-agent orchestration into core engineering workflows - automating tasks such as requirements analysis, test generation, defect triage, and safety documentation.
• Translate multi-functional collaborator requirements into process-automation solutions that operate in environments aligned with automotive standards (ISO 26262, ISO 21434) and quality models (ISO 25010).
• Build integrated data pipelines that aggregate telemetry from global systems and surface executive-level insights through advanced visualization and predictive quality metrics.
• Evaluate and operationalize emerging AI capabilities - including code-generation copilots, agentic coding assistants, and automated documentation tools.
• Help define and deploy governance policies for AI-assisted tooling outputs, ensuring traceability, auditability, and compliance when AI-generated artifacts feed into safety-certified processes.
• Raise the standard for tooling quality and architectural guidelines. Coach and support engineers at all levels, fostering a culture of technical growth.

• BS or MS in Computer Science, or equivalent experience, with 8+ years in infrastructure, Dev Ops, or software tooling.
• Strong proficiency in Python and a solid understanding of tooling architecture and design patterns.
• Experience managing enterprise-scale CI/CD environments (Git Lab CI, Jenkins, or similar) and infrastructure-as-code tools (Terraform, Ansible).
• Experience building production-grade, full-stack systems - backend microservices (Python, Node.js, Go), RESTful and GraphQL APIs, relational and No
  
  SQL data stores, graph databases (e.g., Neo4j), and modern web interfaces (React, Next.js, or Type Script).
• Hands‑on experience deploying LLM and agentic applications, including agent frameworks, tool integration, MCP‑based systems, memory and orchestration, prompt engineering, guardrails, evaluation, and RAG/GraphRAG architectures.
• Experience building internal developer portals and AI‑powered interfaces, including chat‑based or conversational UIs for agent interaction.
• Strong SQL and data‑warehousing skills for managing high‑volume metrics across multiple programs.
• Clear communication and collaborative problem‑solving skills.

• Experience developing and deploying tools across distributed organizations.
• Prior experience in automotive, aerospace, or medical industries where…