Principal Software Engineer, Distributed Systems Engineer - DGX Cloud
USonsiteprincipal
Posted today · via Workday
About this role
NVIDIA is hiring experienced software engineers with kubernetes experience to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, go, kubernetes, teams
2
Level fit
This role is principal-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in US. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythongokubernetesteams
More at NVIDIA
- View →Senior DFT Verification Engineer2 Locations
- View →Senior Mask Layout Design Engineer2 Locations
- View →Technical Program Manager - EcommerceIndia, Pune
- View →Technical Program Manager, InfrastructureIndia, Bengaluru
- View →SAP MM/PP Master Data Engineer - Enterprise Data Management2 Locations
- View →AI Governance Lead - FinanceUS, CA, Santa Clara