NVIDIA Corporation

Senior Software Engineer, Infrastructure and Tooling Lead - Automation

NVIDIA Corporation$184K — $356K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Computer Science, Engineering, or equivalent experience.
  • 8+ years of software engineering experience with hands-on development skills.
  • Proven experience in building infrastructure and automation systems.
  • Strong programming skills in Python, Bash, C, and C++ in Linux environments.
  • Experience integrating with CI/CD pipelines and other development systems.
  • Hands-on experience with LLM-based workflows or AI-assisted automation tools.
  • Strong skills in technical leadership and mentoring.

Responsibilities

  • Lead the design and development of internal engineering tools and automation frameworks.
  • Build scalable services and integrations to enhance developer efficiency.
  • Develop LLM workflows for tasks like code analysis and report generation.
  • Integrate tools with CI/CD systems and internal services for efficiency.
  • Define coding standards and reliability practices for automation systems.
  • Mentor engineering teams and provide technical leadership on projects.

Benefits

  • Equity participation in company growth.
  • Comprehensive health and wellness benefits.
  • Flexible work arrangements to promote work-life balance.
  • Access to cutting-edge technology and resources.
  • Opportunity for professional development and advancement.
Full 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 July 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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