Job description

NVIDIA is looking for a senior technical lead to drive infrastructure and tooling development for our Automation team. This role will focus on building scalable internal platforms, automation frameworks, developer productivity tools, and LLM-powered workflows that improve engineering efficiency across complex software development and validation environments. What You’ll Be Doing: • 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. What We Need To See: • 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. Ways To Stand Out From The Crowd: • Experience building 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

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.
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.
Experience building 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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 10, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

llmci/cdpythonaikubernetes

Platform: eightfold
Effort: medium