Senior Solutions Architect, OEM AI

About the position

NVIDIA is seeking outstanding Solutions Architects to help grow our OEM enterprise AI business. At NVIDIA, our solutions architects work across different teams and enjoy helping partners and customers with the latest Accelerated Computing and Generative AI, and AI Factory deployments. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our OEM partners and work on exciting projects and proof-of-concepts which are focused on Generative AI and Large Language Models solutions. You should be comfortable working in a multifaceted environment and have experience with Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA!

Responsibilities

• Collaborate with NVIDIAs OEM partners to define, document, and develop enterprise solutions that meet customer technical requirements and address business needs.
• Building custom product demonstrations and POCs for solutions that address the critical business needs of our customers.
• Training our partners the latest enterprise AI solution offerings from NVIDIA.
• Work as a key member of our OEM team as a technical authority on NVIDIA products.
• Some travel to conferences and customers may be required.

Requirements

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
• 8+ Years proven experience as a solution architect or technical presales role.
• Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions.
• Strong knowledge of theory and practice of AI workloads and HW deployments.
• Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts.
• Desire to be involved in multiple diverse and creative projects.

Nice-to-haves

• Experience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM.
• Background with large-scale cluster bring-up and operation.
• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design.
• Familiarity with parallel programming and distributed computing platforms.
• Experience building large-scale HW solutions for Enterprise computing workloads.

Benefits

• Equity and benefits.