Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- $168K – $333.5K/yr
- Location
- Remote - California, United States
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- 8+ years in similar role and experience on large-scale production systems.
- Education
- BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.
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Qualifications
Direct experience in a Production Engineering/DevOps/SRE role within a highly technical organization, with demonstrable impact. Strong communication skills and experience working with multifunctional teams across organizational boundaries and geographies. Technical knowledge of Go or Python and data structures and algorithms.
Required
- Production Engineering, DevOps, or SRE experience
- Experience with large-scale production systems
- Strong communication skills
- Systems programming language such as Go or Python
- Understanding of data structures and algorithms
Preferred
- Managing and automating large-scale distributed systems independent of cloud providers
- Advanced hands-on experience with Kubernetes, Slurm, or Bright Cluster Manager
- Maintaining reliable and performant AI infrastructure
About the role
Original posting provided by NVIDIA
What you’ll be doing:
- Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments.
- Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations.
- Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup, handoff, and production operations.
- Reduce manual production touches through APIs, GitOps, automation, and agent-assisted workflows.
- Participate in on-call, incident response, debugging, and durable follow-up work.
- Partner with platform, storage, networking, security, and workload teams to make infrastructure production-ready.
What we need to see:
- 8+ years of experience building or operating production infrastructure.
- Strong programming skills in Python, Go, or similar.
- Experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation.
- Ability to troubleshoot distributed systems in production.
- Clear communication and ability to work across teams.
- BS/MS in Computer Science or equivalent experience.
Ways to stand out from the crowd:
- Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation.
- Experience with SLOs, on-call, incident response, observability, and reliability practices.
- Exposure to BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hard-working people on the planet working for us. If you're creative, hard-working and self-motivated, we want to hear from you!
You will also be eligible for equity and benefits.
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.
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.
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.