Senior Software Engineer, Infrastructure and Tooling – DriveOS
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is harnessing AI and high-performance computing to build the future of mobility through DriveOS, the software platform behind autonomous vehicles and intelligent machines.
Our Infrastructure and Tooling team makes the engineering environment behind that platform coherent, practical, and scalable.
We are looking for a Senior Software Engineer to combine software engineering and AI-enabled automation with first-principles thinking. You will build tools that help teams deliver reliable software and evidence 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 to improve development efficiency and product quality.
Key responsibilities
- 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 to automate tasks such as requirements analysis, test generation, defect triage, and safety documentation.
- Translate multi-functional collaborator requirements into process-automation solutions operating 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, and coach engineers at all levels to foster technical growth.
Qualifications
- BS or MS in Computer Science, or equivalent experience, with 8+ years in infrastructure, DevOps, or software tooling.
- Strong proficiency in Python and a solid understanding of tooling architecture and design patterns.
- Experience managing enterprise-scale CI/CD environments (GitLab CI, Jenkins, or similar) and infrastructure-as-code tools (Terraform, Ansible).
- Experience building production-grade, full-stack systems including backend microservices (Python, Node.js, Go), RESTful and GraphQL APIs, relational and NoSQL datastores, graph databases (e.g., Neo4j), and modern web interfaces (React, Next.js, or TypeScript).
- 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.
Nice to have
- Experience developing and deploying tools across distributed organizations.
- Prior experience in automotive, aerospace, or medical industries where process infrastructure must meet strict regulatory and safety certifications.
- Experience building plugin-based or extensible tooling platforms (VS Code extensions, IDE plugins, CLI toolchains) that embed AI capabilities directly into developer workflows.
- Experience building and maintaining AI evaluation harnesses including automated regression testing for LLM outputs, prompt versioning, and guardrails for safety-critical AI-generated artifacts.
Benefits
- Equity opportunities
- Comprehensive benefits package
Job details
- Base salary range: 184,000 USD - 287,500 USD for Level 4
- Base salary range: 224,000 USD - 356,500 USD for Level 5
- Application deadline: Accepted at least until October 9, 2026
About the company
NVIDIA is a pioneer in GPU-accelerated computing, transforming industries from gaming to healthcare and autonomous vehicles. We tackle challenges that no one else can, driven by a culture of innovation, speed, and continuous learning.
Additional information
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
