Senior Software Engineer, Infrastructure and Tooling

🔥 5 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Design and implement highly available automation systems, developer tooling, and intelligent dashboards to improve and monitor DriveOS build and release quality • Partner across the organization to shape infrastructure roadmaps and consolidate tooling initiatives • Architect AI-native pipelines integrating LLM-based agents, RAG systems, and multi-agent orchestration into engineering workflows • Automate requirements analysis, test generation, defect triage, and safety documentation • Translate collaborator requirements into process-automation solutions aligned with ISO 26262, ISO 21434, and ISO 25010 • Build integrated data pipelines aggregating telemetry from global systems • 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 • Define and deploy governance policies for AI-assisted tooling outputs to ensure traceability, auditability, and compliance • Raise tooling quality and architectural standards • Coach and support engineers at all levels

🎯 Requirements

• BS or MS in Computer Science, or equivalent experience • 8+ years in infrastructure, DevOps, or software tooling • Strong proficiency in Python • Understanding of tooling architecture and design patterns • Experience managing enterprise-scale CI/CD environments (GitLab CI, Jenkins, or similar) • Experience with infrastructure-as-code tools (Terraform, Ansible) • Experience building production-grade, full-stack systems, including Python, Node.js, Go, RESTful and GraphQL APIs, relational and NoSQL datastores, graph databases such as Neo4j, and 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 • Strong SQL and data-warehousing skills • Clear communication and collaborative problem-solving skills • Experience developing and deploying tools across distributed organizations • Prior experience in automotive, aerospace, or medical industries with strict regulatory and safety certifications • Experience building plugin-based or extensible tooling platforms, such as VS Code extensions, IDE plugins, or CLI toolchains • 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 • Benefits