NVIDIA Corporation

Senior Software Engineer - AI Research Clusters

NVIDIA Corporation$152K — $287K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS in Computer Science, Engineering, or equivalent experience.
  • 5+ years in software/platform engineering, including 3+ years in ML infrastructure or distributed systems.
  • Experience in software development lifecycle on Linux-based platforms.
  • Strong coding skills in languages such as Python, C++ or Rust.
  • Experience with Docker, Kubernetes, GitLab CI, automated deployments.
  • Experience with AIOps or Agentic AI in production environment.

Responsibilities

  • Work with AI Platform organization to identify pain points in GPU clusters.
  • Design, develop, and maintain engineering solutions for GPU operational issues.
  • Research AIOps and Agentic AI to minimize operational toil.
  • Participate in on-call support for systems and platforms owned by the team.

Benefits

  • Eligible for equity and various employee benefits.
Full Job Description
In this role, you will propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers, enable them to focus on training and development by reducing operational disruption and overhead, empower them for self-service continuous improvement on reliability, operational excellence & performance. Your work will empower scientists and engineers to train, fine-tune, and deploy the most advanced ML models on some of the world's most powerful GPU systems.

What You'll Be Doing:
  • In this position, you will work with coworkers across the AI Platform organization to understand the pain points of validating, monitoring and operating GPU clusters at scale. Then you will design, develop and maintain engineering solutions to solve those pain points systematically.
  • You will also research in traditional AIOps and the emerging Agentic AI, and leverage it to further reduce the operation toil.
  • You will participate in on-call support for systems, platforms built and owned by the team.


What We Need To See:
  • BS/MS in Computer Science, Engineering, or equivalent experience.
  • 5+ years in software/platform engineering, including 3+ years in ML infrastructure or distributed systems.
  • Experience in software development lifecycle on Linux-based platforms.
  • Strong coding skills in languages such as Python, C++ or Rust.
  • Experience with Docker, Kubernetes, GitLab CI, automated deployments.
  • Experience with AIOps or Agentic AI and apply it successfully in production environment.


Ways To Stand Out From The Crowd:
  • Proficiency with full-stack development: Relational Data Modeling, DB optimization, REST API Semantics, Javascript, CSS, providing API as a service.
  • Passion for building developer-centric platforms with great UX and strong operational reliability.
  • Experience running Slurm or custom scheduling frameworks in production ML environments.
  • Familiarity with GPU computing, Linux systems internals, and performance tuning at scale.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 10, 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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