Global AI Solutions Partnerships Manager

NVIDIA Gruppe

Santa Clara (CA)

On-site

USD 224,000 - 431,000

Full time

14 days+
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Job summary

NVIDIA in Santa Clara seeks a senior technologist to drive adoption of NVIDIA software libraries across partner teams, from product to research. You will coordinate with account, developer relations, and solutions architecture to prioritize integration and accelerate critical workloads through the NVIDIA stack.

This role requires deep AI infrastructure knowledge, 12+ years in tech, and experience in inference serving and model training at scale.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or related field.
  • 12+ years in tech incl. 3+ years in inference serving, ML model development, or data processing.
  • Deep understanding of large-scale AI infrastructure and software stack.
  • Ability to engage partner research and performance teams as a peer.
  • Proven track record in complex technical engagements with stakeholders across teams.
  • Experience influencing partner product roadmaps.

Responsibilities

  • Drive adoption of NVIDIA software libraries across partner teams.
  • Coordinate with account, developer relations, solutions architecture, and engineering on integration priorities.
  • Accelerate workloads by integrating NVIDIA software into partner products and pipelines.
  • Lead cross-functional teams as NVIDIA PIC to ensure partnership success.
  • Grow upstream adoption in open-source projects the partner maintains.

Skills

Deep AI infra knowledge
Articulate complex concepts
Inference serving experience
Executive-level engagement
Cross-functional leadership
Roadmap influence
Open-source collaboration

Education

Bachelor's in CS/Engineering/EE
Master's or equivalent experience

Tools

CUDA-X
CUTLASS
cuEmbed
cuDF
NCCL
NVSHMEM

Job description

NVIDIA in Santa Clara seeks a senior technologist to drive adoption of NVIDIA software libraries across partner teams, from product to research. You will coordinate with account, developer relations, and solutions architecture to prioritize integration and accelerate critical workloads through the NVIDIA stack.

This role requires deep AI infrastructure knowledge, 12+ years in tech, and experience in inference serving and model training at scale.

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