Senior Customer Solution Architect and Application Engineering

Experteer Overview As Customer Solution Architecture and Application Engineering Manager, you will lead embedded solutions initiatives by partnering with hardware design teams and major OEMs. You’ll guide a Partner Enablement function to ensure product quality, performance, and smooth integration from NPI to mass production. You will work across hardware, firmware, software, validation, and AI algorithm teams to optimize architectures for the fastest-growing AI and robotics markets. This role offers a chance to shape next-generation embedded systems at NVIDIA with a strong impact on real-world AI deployments. Compensation / Benefits * Collaborate with Tier-1 and OEM customers and internal teams to shape future embedded architectures and roadmaps. * Work with hardware, firmware, software, sensors validation, and AI algorithm teams to integrate NVIDIA embedded solutions into customer products. * Define system-level requirements and maintain design docs, test plans, and enablement materials for embedded architectures. * Assess and enhance system performance, power, and thermomechanical integration while providing feedback to internal teams. * Coordinate multi-functional NVIDIA teams to ensure highly optimized, high-performing customer solutions. Tasks * 7+ years of experience * BS in EE/CE/CS or equivalent * Proven track record leading a multidisciplinary team * Deep knowledge of AI hardware products and applications * Excellent external and internal communication and collaboration skills * Strong problem-solving abilities with an awareness of trade-offs in technical and process contexts Key requirements * equity * comprehensive benefits * competitive base salary * career growth opportunities

and for embedded architectures. * Assess and enhance system performance, power, and thermomechanical integration while providing feedback to internal teams. * Coordinate multi-functional NVIDIA teams to ensure highly optimized, high-performing customer solutions. Tasks * 7+ years of experience * BS in EE/CE/CS or equivalent * Proven track record leading a multidisciplinary team * Deep knowledge of AI hardware products and applications * Excellent external and internal communication and collaboration skills * Strong problem-solving abilities with an awareness of trade-offs in technical and process contexts Key requirements * equity * comprehensive benefits * competitive base salary * career growth opportunities