Senior Solutions Architect, Inference Service Providers
USonsitesenior
Posted yesterday · via Workday
About this role
We are looking for an architect that wants to change how the AI inference industry works. With agent adoption taking off and GPUs in shortage, NVIDIA has a key part to play in solving the technical challenges that scale token generation on finite resources. Our ISP (inference service provider) team supports some of our most strategic partners who rely on SA support to push the boundaries of performance, squeezing value and reliability out of vast NCP (NVIDIA Cloud Partner) infrastructure. You’ll master full-stack inference with every SOTA bell and whistle, from smarter routing to rack-scale disaggregation down to kernel optimization. You’ll write reference architectures adopted by 10k+ gpu clusters.…
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: kubernetes, teams
2
Level fit
This role is senior-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.
kubernetesteams
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