NVIDIA

NVIDIA

Posted via Workday

Senior Software Engineer, Infrastructure Automation and Distributed Systems

Posted Aug 5, 2026

Role at a glance

Salary
$224K – $431.3K/yr
Location
5 Locations, South Carolina, United States
Work arrangement
On-site
Employment
Full-time
Experience
12+ years of relevant experience.
Education
BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.

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Role Summary

AI-generated

The role focuses on building and operating reliable, large-scale infrastructure platform services for internal- and external-facing EDA services running on NVIDIA hardware. The team manages service reliability, observability, automation, software life cycles, and incident response across private or public cloud environments.

What You'll Do

  • Design, build, deploy, and run infrastructure services.
  • Manage the software life cycle for services in scope.
  • Define internal-facing service level objectives and error budgets as part of the observability strategy.
  • Eliminate toil or automate it where appropriate.
  • Participate in blameless incident prevention and incident response as part of an on-call rotation.
  • Consult with peer teams on systems design best practices.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

BS degree in Computer Science or a related technical field involving coding, or equivalent experience; 12+ years of relevant experience; infrastructure automation and distributed systems design experience; experience developing tools for large-scale private or public cloud systems in production; experience with Python, Go, Perl, or Ruby; in-depth knowledge of Linux, Networking, Storage, or Containers.

Required

  • BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience
  • 12+ years of relevant experience
  • Track record of initiating projects, gaining collaboration, and collaborating on others' projects
  • Experience with infrastructure automation and distributed systems design
  • Experience developing tools for running large-scale private or public cloud systems in production
  • Experience with one or more of Python, Go, Perl, or Ruby
  • In-depth knowledge of one or more of Linux, Networking, Storage, and Containers

Preferred

  • Systematic problem-solving approach, strong communication skills, sense of ownership and drive
  • Experience using coding assistant(s), MCP servers, or AI agents to accelerate positive business impact
  • Experience with or developing bare metal as a service (BMaaS) associated systems
  • Experience with or developing multi-cloud infrastructure services
  • Experience running private or public cloud systems based on Kubernetes, OpenStack, Docker, or Slurm
  • Experience teaching reliability or cloud systems practices to peers or other companies
  • Background with NVIDIA Collective Communication Library (NCCL)

Original job description

Content provided by the employer

We are seeking Systems Engineers and Software Engineers interested in building and running reliable large scale infrastructure platform services. In this organization, you will ensure that our internal and external facing EDA services atop of NVIDIA hardware are running as reliably as needed. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

What you’ll be doing:

  • Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals.

  • Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy.

  • Eliminate toil or automate it where the ROI of building and maintaining automation is worth it.

  • Practice sustainable blameless incident prevention and incident response while being a member of an oncall rotation.

  • Consult with and provide consultation for peer teams on systems design best practices.

What we need to see:

  • BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.

  • 12+ years of relevant experience.

  • A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.

  • Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud system in production.

  • Experience in one or more of the following: Python, Go, Perl or Ruby.

  • In depth knowledge in one or more of Linux, Networking, Storage, and Containers.

Ways to stand out from the crowd:

  • Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Experience accelerating positive impact to the business using coding assistant(s), MCP servers, or AI agents.

  • Experience working with or developing bare metal as a service (BMaaS) associated systems.

  • Experience working with or developing multi-cloud infrastructure services and running private or public cloud systems based on one or more of Kubernetes, OpenStack, Docker or Slurm.

  • Experience teaching reliability (e.g SRE) or more general cloud systems good practices to peers or to other companies (e.g CRE).

  • Background with NVIDIA Collective Communication Library (NCCL).

No prior experience having worked in a team of any particular name or having worked in a ML/AI focused team are required but also a nice to have.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 16, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.