Manager, Customer Solution Architect and Application Engineering

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Manager for Customer Solution Architecture and Application Engineering at NVIDIA, focusing on enabling next-generation Embedded products and system solutions for AI, deep learning, and advanced computing markets. The role involves leading a team to collaborate with customers and internal hardware design, firmware, software, and AI algorithm teams to integrate NVIDIA's Embedded solutions into customer products, define system-level requirements, and optimize performance.

What you'd actually do

  1. Lead a team to collaborate with major Tier-1 and key OEM customers, as well as internal teams, to develop future Embedded architectures and roadmaps.
  2. Lead a team working alongside hardware design, firmware, software, sensors validation and AI algorithm teams to integrate NVIDIA's Embedded solutions into our customers’ products.
  3. Define system-level requirements and specifications for Embedded architectures using NVIDIA SoC solutions, while maintaining design documentation, test plans, and other customer enablement materials.
  4. Evaluate and enhance system performance, power efficiency, and thermomechanical integration, while simultaneously providing internal teams with laser-focused feedback for future improvements.
  5. Lead a team to address complex technical design issues at all levels.

Skills

Required

  • Expertise in thermal, mechanical, and electrical (TME) engineering
  • 10+ overall years of proven experience
  • 3+ years in a management role
  • BS or equivalent degree in EE/CE/CS engineering field or equivalent experience
  • Consistent track record of leading a team and working with multidisciplinary groups (hardware, firmware, software, validation, project management, sensors, and AI algorithm developers)
  • In-depth knowledge of AI hardware products and applications
  • Exceptional communication skills
  • Strong collaboration abilities

Nice to have

  • Experience ranging from nano-electronic and micro-mechanical board design to the integration of large-scale Automotive and Robotic systems.

What the JD emphasized

  • AI hardware products
  • AI algorithm developers