NVIDIA Corporation

Senior Manager, Software Engineering - Agentic Automation

NVIDIA Corporation$248K — $391K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Computer Science, Engineering, or related fields
  • 6+ years experience leading engineering teams
  • 12+ years overall in Infrastructure, SRE, DevOps, or Production Engineering
  • Experience scaling engineering teams in a high-growth environment
  • Deep expertise in software solutions and automation
  • Hands-on skills with infrastructure-as-code and cloud platforms
  • Strong programming skills in Python, Go, or similar languages
  • Exceptional communication skills to influence stakeholders

Responsibilities

  • Lead and expand the engineering team for high-quality enterprise solutions
  • Design and implement AI workflows using LLM-based agents
  • Build integrations and automation pipelines across various platforms
  • Provide hands-on technical guidance and co-author production code
  • Mentor and grow engineers in enterprise software design and operations
  • Define and drive a multi-quarter roadmap for automation and AI
  • Plan and manage team execution, prioritization, and milestone tracking
  • Support hiring and career development activities for the team

Benefits

  • Equity options
  • Access to AI tools in recruiting
  • Opportunity for career development
  • Work in a high-impact global environment
  • Collaborate with advanced technology solutions
Full Job Description
We are seeking a hands-on Senior Software Engineering Manager who has a passion for cultivating high impact engineering teams to support users and systems across our worldwide production environment. This role involves leading engineers who are responsible for developing scalable, reliable, enterprise software and services. You will be instrumental in fostering a culture of automation, self-service, and clear documentation. You will be a hands -on technical leader who owns the full, end-to-end delivery of solutions including below core functions. What you'll be doing:
  • Lead and expand a team focused on designing and delivering high-quality, scalable enterprise solutions to ensure seamless employee experiences.
  • Design and implement agentic AI workflows using LLM-based agents, tool calling, RAG patterns, and orchestration frameworks. Push the boundaries of what AI-assisted operations can achieve.
  • Build robust integrations and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS. Own the full stack from infrastructure to user facing tools.
  • Providing hands-on technical guidance, including co-authoring, reviewing, and shipping production code.
  • Leading, mentoring, and growing the team of engineers responsible for the design, build, and operation of enterprise grade software and solution.
  • Defining and driving the multi-quarter roadmap for automation and AI-assisted operations and tooling.
  • Planning and managing team execution, which includes project prioritization, milestone tracking, capacity planning, and ensuring on-time delivery.
  • Supporting key organizational activities, including hiring, performance management, career development for the team.
What we need to see:
  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
  • 6+ years of experience leading and managing high-performing engineering teams
  • 12+ overall years of experience in Infrastructure, SRE, DevOps, or Production Engineering, including
  • Proven track record of building and scaling teams from the ground up in a fast-paced, high-growth environment.
  • Deep expertise in building software solutions and automation.
  • Strong hands-on skills with infrastructure-as-code, CI/CD, containerization (Kubernetes), and cloud platforms (AWS, GCP, or Azure).
  • Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, PagerDuty, or similar).
  • Strong programming skills in Python, Go, or similar languages for automation and tooling.
  • Exceptional communication skills with the ability to influence across engineering, product, and executive stakeholders.
  • Exceptional ability to translate "deep tech" into business value.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 7, 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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