Senior Software Engineer – Infrastructure and Tooling Lead – Automation

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

🤖 QA Automation Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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, with strong hands-on development skills. • Proven experience building infrastructure, automation systems, developer tools, workflow platforms, or internal engineering services. • Strong programming experience in Python, Bash, C, and C++, with experience building infrastructure, automation, and systems-level tooling in Linux-based environments. • Experience designing systems that integrate with 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.

🏖️ Benefits

• equity • benefits