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Senior AI Infrastructure Architect for Enterprise ISVs
Summary by AIEngineer.careers
Senior AI Infrastructure Architect for Enterprise ISVs is a AI Infrastructure Engineer role (full-time). with Nvidia Corporation. in SANTA CLARA, US. Imported listing (source: developer.jobserve.com). Apply on the employer's site (developer.jobserve.com).
Imported listing (source: developer.jobserve.com) · Apply on developer.jobserve.com
SANTA CLARA · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from developer.jobserve.com
NVIDIA is seeking a Senior AI Infrastructure Architect to help enterprise ISVs design, deploy, and optimize AI infrastructure using NVIDIA's accelerated computing technologies. You will collaborate with product, engineering, sales, developer relations, and partner teams to guide ISVs in adopting NVIDIA infrastructure for training, fine-tuning, inference, and deployment at scale. The role requires up to 20% travel.
Responsibilities
- Partner with ISVs to design and deploy AI infrastructure solutions
- Optimize AI workloads for training, fine-tuning, and inference on NVIDIA platforms
- Collaborate with cross-functional teams to drive adoption of NVIDIA technologies
- Provide technical guidance and architectural expertise to enterprise customers
Requirements
- Experience in AI infrastructure, accelerated computing, or related fields
- Strong understanding of AI/ML workflows including training, fine-tuning, and inference
- Excellent communication and collaboration skills
- Ability to travel up to 20%
Nice to Have
- Experience working with enterprise ISVs
- Familiarity with NVIDIA software stack (CUDA, TensorRT, etc.)
Nvidia Corporation
Santa Clara · US · 51530+ employees
NVIDIA Corporation is a global accelerated-computing and semiconductor company. Its GPUs helped drive PC gaming, modern computer graphics, artificial intelligence, data-center computing, robotics, autonomous systems, and visualization; the company now offers full-stack computing platforms at data-center scale.
