Customer Solutions Architect, Applications Engineering

NVIDIA•Santa Clara, CA

8d•$116,000 - $189,750

About The Position

NVIDIA is seeking a Customer Solution Architect to join its Applications Engineering team. The role partners with key hardware design teams to enable next-generation Embedded products and system solutions. It leads a Partner Enablement team focused on product quality and reliability, system performance, and integration, and engages customers from New Product Introduction (NPI), design integration, and validation through mass-production deployment. The position supports Embedded solutions for markets including artificial intelligence, deep learning, and advanced computing.

Requirements

Expertise in thermal, mechanical, and electrical (TME) engineering, with experience ranging from board design to integration of large-scale automotive and robotic systems.
At least 3 years of overall proven experience.
Bachelor of Science degree or equivalent in electrical engineering, computer engineering, computer science, or equivalent experience.
Demonstrated ability to lead a team and work with multidisciplinary groups, including hardware, firmware, software, validation, project management, sensors, and AI algorithm developers.
In-depth knowledge of AI hardware products and applications.
Exceptional internal and external communication skills and strong collaboration abilities.
Passion for complex technical and process problem-solving, with an understanding of broader implications and trade-offs.

Responsibilities

Collaborate with major Tier-1 and key OEM customers and internal teams to develop future Embedded architectures and roadmaps.
Work with hardware design, firmware, software, sensor validation, and AI algorithm teams to integrate NVIDIA Embedded solutions into customer products.
Define system-level requirements and specifications for Embedded architectures using NVIDIA SoC solutions.
Maintain design documentation, test plans, and other customer enablement materials.
Evaluate and improve system performance, power efficiency, and thermomechanical integration.
Provide focused feedback to internal teams to guide future improvements.
Collaborate with cross-functional NVIDIA teams to optimize customer solutions for high performance.
Lead a Partner Enablement team to support product quality, reliability, system performance, and integration.