AI Factory Solutions Architect, CPU Focused

🕒 July 15

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Our day-to-day work involves helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks. • Having a deep technical understanding of NVIDIA Reference Architectures, and using that understanding to enable customers adopting our CPU-based solutions as part of the overall NVIDIA AI Factory. • Being comfortable working on not just hardware and software elements, but also the larger AI workflow and operationalization of large scale compute resources. • As the technical leader for the CPU components within the NVIDIA AI Factory, you will play an instrumental role in driving that success. • Sharing knowledge with our colleagues, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. • Collaborating with executives and engineering to tackle sophisticated problems and help bring NVIDIA's premiere technologies to life.

🎯 Requirements

• Experience with defining, deploying, and testing large scale reference architectures for High Performance Computing and AI. • A track record of defining and using MLOps and AI workflow tools and processes. • 6 or more years of hands-on expertise with modern data center architectures and interaction between CPUs, GPUs, and networking. • Strong foundational expertise and a BS, MS, or equivalent experience in Engineering. • Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. • Ability to multitask efficiently in a multifaceted environment. • Experienced with organizing, presenting, and discussing technical materials with groups that can be comprised of a range of technical capability. • Flexibility to adapt in fluid situations, especially with partners or customers. • Comfortable with occasional travel to customer sites.

🏖️ Benefits

• equity • benefits