Senior Software Engineer – Infrastructure and Tooling Lead, Automation

🕒 August 6

🏄 California – Remote

🏄 California – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

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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

• Lead the design and development of infrastructure, automation frameworks, and internal engineering tools • Build scalable services, APIs, dashboards, workflow engines, and integrations that improve developer efficiency and operational visibility • Develop LLM-based workflows for triage, summarization, code and log analysis, test workflow assistance, report generation, and knowledge retrieval • Integrate tooling with CI/CD systems, source control, issue tracking, test infrastructure, dashboards, and internal engineering services • Define architecture, coding standards, evaluation methods, and reliability practices for automation and LLM-enabled systems • Mentor engineers, review designs, and provide technical leadership across infrastructure and tooling projects

🎯 Requirements

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience • 8+ years of software engineering experience • Proven experience building infrastructure, automation systems, developer tools, workflow platforms, or internal engineering services • Strong programming experience in Python, Bash, C, and C++ • Experience building infrastructure, automation, and systems-level tooling in Linux-based environments • Experience designing systems integrating CI/CD pipelines, source control systems, issue trackers, databases, APIs, and distributed services • Hands-on experience developing LLM-based workflows, agents, RAG systems, timely pipelines, or AI-assisted automation tools • Practical understanding of LLM workflow reliability, including evaluation, guardrails, error handling, observability, and human-in-the-loop review • Strong technical leadership, architecture ownership, mentoring, and cross-team collaboration skills • Experience with engineering efficiency platforms or automation infrastructure for large-scale software organizations • Experience with test automation, validation infrastructure, build systems, release workflows, or developer experience tooling • Familiarity with embeddings, vector search, RAG, model evaluation, agent orchestration, or LLM workflow frameworks • Strong background in Linux, containers, Kubernetes, cloud or on-prem infrastructure, and distributed systems • Prior experience leading a small technical team or serving as a technical lead for multi-functional infrastructure projects

🏖️ Benefits

• Equity • Benefits