Manager, Customer Solution Architect and Application Engineering
Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 6
Project Management @ 3
GPU @ 3
Deep Learning @ 6
AI @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. You will lead 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. If you are passionate about technology that drives growth in AI markets and want to be part of a diverse team that is making a difference, we encourage you to apply.
Responsibilities
- 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 performance, power efficiency, and thermomechanical integration, while simultaneously providing internal teams with 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.
Requirements
- 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 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, both external and internal, coupled with strong collaboration abilities.
- A deep passion for complex problem-solving on a technical and process level, while comprehending the broader implications and trade-offs involved.
Benefits
- Base salary range: 196,000 USD - 310,500 USD (final base salary determined by location, experience, and pay of employees in similar positions).
- Eligibility for equity and benefits; NVIDIA offers a comprehensive benefits package.
Additional information
- Applications for this job will be accepted at least until May 11, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.