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NVIDIA

Senior Software and DevOps Development Engineer

NVIDIA is hiring a Senior Software and DevOps Development Engineer. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.
  • Posted in the last few days.

AI in this role

NVIDIA is seeking an exceptional DevOps & Software Engineer to join our innovative development team. This team is at the heart of NVIDIA’s software infrastructure—building and maintaining a wide range of solutions including internal cloud environment, scalable CI infrastructure , automation frameworks and AI-driven tools. You will have a direct impact on NVIDIA’s products and development workflows. This role blends hands-on development with deep DevOps practices. It’s ideal for engineers passionate about scalability, infrastructure, automation, and modern development platforms.


What You’ll Be Doing:

  • Develop and maintain internal on-prem cloud solutions based on a microservices architecture to enable efficient, high-quality software development and delivery.
  • Design and implement new capabilities, automation tools, infrastructure services, and advanced AI based solutions.
  • Work across a wide variety of operating systems, building virtualization and system-level capabilities.
  • Provide resilient solutions for a sophisticated infrastructure stack with the latest network devices.
  • Contribute to a positive and collaborative team culture that values creativity and agility.
  • Partner with engineering teams across NVIDIA to deliver scalable and reliable infrastructure solutions.

What We Need to See:

  • B.Sc. in Computer Science, Computer Engineering, or equivalent technical field.
  • 5+ years of hands-on experience in software development or DevOps roles.
  • Proficiency in Python and familiarity with Linux environments.
  • Solid understanding of software design, implementation, and debugging.
  • Strong analytical skills, ability to troubleshoot complex systems.
  • Self-driven, quick learner, comfortable with multitasking and dynamic environments.

Ways to Stand Out from the Crowd:

  • Experience with virtualization and operating system internals.
  • Familiarity with tools like Kubernetes, Rancher, MongoDB, Redis, Docker, Vagrant, Ansible, or similar.
  • Proven development and implementation of AI native solutions for production use cases.
  • Strong background in CI/CD practices, particularly using Jenkins and infrastructure-as-code.
  • Knowledge of networking fundamentals and protocols and prior experience with cloud infrastructure or grid computing environments.

At NVIDIA, we offer competitive salaries, generous benefits, and a dynamic environment where innovation thrives. You'll work with some of the brightest minds in the industry, solving cutting-edge problems and shaping the future of AI, deep learning, graphics, and cloud computing. Our DevOps teams are at the foundation of this innovation. If you're a creative, passionate, and autonomous engineer with a desire to shape infrastructure at scale—we want to hear from you.

We value diversity and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.


#LI-Hybrid

How we rate this

Senior Software and DevOps Development Engineer at NVIDIA rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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