NVIDIA Corporation

Senior Manager, Software Engineering - NIM Factory

NVIDIA Corporation$272K — $431K *
US-AnywhereRemote in Santa Clara, CA
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in building and delivering production software systems
  • 5+ years in a management role leading engineering teams
  • Strong background in cloud-native engineering with containers and Kubernetes
  • Proficiency in cloud programming languages, especially Python
  • Proven track record in hiring and developing senior engineers
  • Excellent communication and stakeholder management skills
  • Degree in Computer Science, Computer Engineering, or equivalent experience

Responsibilities

  • Lead the NIM Factory engineering team and attract top talent
  • Define vision, strategy, and roadmap for NIM's development and operation
  • Own end-to-end delivery of cross-functional engineering programs
  • Drive predictable delivery by managing priorities and dependencies
  • Establish engineering excellence through code reviews and CI/CD practices
  • Collaborate with research and platform teams on inference architecture

Benefits

  • Equity options available
  • Eligibility for various benefits
  • Work with a diverse and inclusive team
  • Access to forward-thinking technological advancements
  • Opportunity for personal and professional development through creative projects
Full Job Description
You are seeking a deeply technical, hands-on Senior Engineering Manager to lead the NVIDIA Inference Microservices (NIM) Factory team. You will lead and scale a world-class engineering organization that delivers day-0 model launches and follows through with enterprise-grade software-to delight customers with reliable, performant, and secure AI services at massive scale. You will partner closely with product, research, SRE, and security to define strategy, drive execution across multiple workstreams, and safeguard the long-term technical health of the platform.

What you'll be doing:
  • Lead the NIM Factory engineering team (containers, orchestration, workflow, observability, platform APIs); attract, hire, onboard, and grow top talent.
  • Define vision, strategy, and roadmap for how we build, ship, and operate NIM from day-0 launch through enterprise-grade hardening (security, reliability, performance, compliance).
  • Own end-to-end delivery of cross-functional programs; align stakeholders and manage dependencies.
  • Drive predictable delivery across multiple programs; manage priorities, resourcing, schedules, and dependencies
  • Establish engineering excellence: code health and reviews, documentation, CI/CD, testing.
  • Collaborate with research and platform teams on inference architecture and scalable deployment patterns.


What we need to see:
  • 10+ overall years building and delivering production software systems, including 5+ years leading engineering teams as a manager; experience leading multiple teams or managing managers is a plus.
  • Proven track record driving complex, cross-functional programs from inception to successful production launch and scale.
  • Strong foundation in cloud-native engineering (containers, Kubernetes, microservices) and modern SDLC practices (CI/CD, testing, observability).
  • Proficiency with cloud languages such as Python; ability to read code, guide designs, and drive high-quality engineering outcomes.
  • Demonstrated ability to hire, coach, and develop senior engineers/tech leads; build inclusive teams and a culture of ownership and excellence.
  • Excellent communication and stakeholder management; ability to influence across product, research, security, and operations.
  • A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience.


Ways to stand out from the crowd:
  • Led teams that built and operated large-scale LLM inference or model-serving platforms (Triton, TensorRT-LLM, vLLM) in production.
  • Experience architecting next-generation container build systems or CI/CD platforms at scale.
  • Built organizations across multiple time zones; established durable engineering processes that improved quality and velocity.
  • Proven success building talent pipelines, mentoring managers/tech leads, and increasing team engagement and retention.
  • Contributions to open-source ecosystems, technical publications, or talks in containers, Kubernetes, GPU, or inference communities.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 17, 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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