Manager, Customer Solution Architect and Application Engineering
AI summary of the role
Lead a Partner Enablement team to integrate NVIDIA's next-generation Embedded SoC solutions into Tier-1 and OEM customer products, spanning NPI through mass production.
What you’ll do
- Lead a team to collaborate with major Tier-1 and key OEM customers to develop future Embedded architectures and roadmaps.
- Lead a team working alongside hardware, firmware, software, sensors validation, and AI algorithm teams to integrate NVIDIA's Embedded solutions into customer products.
- Define system-level requirements and specifications for Embedded architectures using NVIDIA SoC solutions, and maintain design documentation and test plans.
- Evaluate and enhance system performance, power efficiency, and thermomechanical integration, providing feedback for future improvements.
What you’ll bring
- Expertise in thermal, mechanical, and electrical (TME) engineering from nano-electronic board design to large-scale Automotive and Robotic systems.
- 10+ overall years of proven experience and 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, AI algorithm developers).
Technologies
Embedded SoC · TME engineering · NVIDIA SoC · thermal mechanical electrical design · AI hardware · sensors validation · firmware · system performance optimization · power efficiency · thermomechanical integration
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Production engineering · Evidence for this classification:
NVIDIA's groundbreaking invention of the GPU in 1999 not only sparked the growth of the PC gaming market but also redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning has ignited the modern AI era, positioning the GPU as the brain behind computers, robots, and self-driving cars that can perceive and understand the world around them. NVIDIA is seeking a Customer Solution Architecture and Application Engineering Manager to join our team. In this pivotal role, you will collaborate with our key hardware design teams to enable NVIDIA's next-generation Embedded products and system solutions. Your responsibilities will include leading a Partner Enablement team to ensure product quality and reliability, optimize system performance, and enhance the integration process. You will engage with customers from New Product Introduction (NPI),
More from the job description
NVIDIA's groundbreaking invention of the GPU in 1999 not only sparked the growth of the PC gaming market but also redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning has ignited the modern AI era, positioning the GPU as the brain behind computers, robots, and self-driving cars that can perceive and understand the world around them. NVIDIA is seeking a Customer Solution Architecture and Application Engineering Manager to join our team. In this pivotal role, you will collaborate with our key hardware design teams to enable NVIDIA's next-generation Embedded products and system solutions. Your responsibilities will include leading a Partner Enablement team to ensure product quality and reliability, optimize system performance, and enhance the integration process. You will engage with customers from New Product Introduction (NPI), design integration, and validation stages, all the way through to mass production deployment. This is a unique opportunity to lead Embedded solutions into the fastest-growing markets, including artificial intelligence, deep learning, and advanced computing! We have a rare chance to change the world with our next-generation solutions at the forefront of advanced technology, making a significant impact on our daily lives. If you are passionate about technology that drives growth in AI markets and want [... source excerpt omitted ...] part of a diverse team that is making a difference, we encourage you to apply now to join NVIDIA! What You’ll Be Doing: 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. 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. Define system-level requirements and specifications for Embedded architectures using NVIDIA SoC solutions, while maintaining design documentation, test plans, and other customer enablement materials. Evaluate and enhance system perf [... source excerpt omitted ...] laser-focused feedback for future improvements. Lead a team to address complex technical design issues at all levels. Collaborate with multi-functional teams at NVIDIA to ensure customer solutions are extraordinarily optimized to be the highest-performing solutions in the world. What We Need to See: Expertise in thermal, mechanical, and electrical (TME) engineering, with experience ranging from nano-electronic and micro-mechanical board design to the integration of large-scale Automotive and Robotic systems. 10+ overall years of proven experience and 3+ years in a management role. BS or equivalent degree in EE/CE/CS engineering field or equivalent experience Consistent tra
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