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Senior GPU AI Solutions Architect for High-Performance LLM
Summary by AIEngineer.careers
Senior GPU AI Solutions Architect for High-Performance LLM is a AI Solutions Architect 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 hiring a Senior GPU AI Solutions Architect to help strategic customers build scalable AI/ML and HPC software solutions. You will act as the primary technical contact for AI infrastructure projects, lead proof-of-concept development, and integrate cloud solutions across hyperscalers. The role involves close collaboration with Sales and Developer Relations to identify and pursue opportunities.
Responsibilities
- Serve as the primary technical contact for AI infrastructure projects with strategic customers.
- Lead proof-of-concept development and cloud integrations across hyperscalers.
- Collaborate with Sales and Developer Relations to identify opportunities.
- Provide end-to-end technology solutions and technical support aligned with product strategy.
Requirements
- Expertise in AI/ML and HPC software solutions.
- Experience with GPU computing and LLM workloads.
- Strong background in cloud integrations and hyperscaler platforms.
- Customer-facing technical support and solution architecture experience.
Nice to Have
- Experience with NVIDIA GPU technologies and software stacks.
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.
