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 Architect to join our Applications Engineering 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 to be part of a diverse team that is making a difference, we encourage you to apply now to join NVIDIA!
What You’ll Be Doing:
Collaborate with major Tier-1 and key OEM customers, as well as internal teams, to develop future Embedded architectures and roadmaps.
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 laser-focused feedback for future improvements.
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 board design to the integration of large-scale Automotive and Robotic systems.
3+ overall years of proven experience
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.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. Our team comprises some of the most experienced and dedicated individuals in the world, and due to outstanding growth, our extraordinary engineering teams are growing rapidly. If you are a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- 3+ years of overall professional experience
- Bachelor's degree or equivalent in electrical engineering, computer engineering, computer science, or equivalent experience
- Expertise in thermal, mechanical, and electrical engineering
- Experience with board design and integration of large-scale automotive or robotic systems
- Experience leading teams and working with multidisciplinary engineering groups
- In-depth knowledge of AI hardware products and applications
- Exceptional internal and external communication and collaboration skills
- Complex technical and process problem-solving skills, including understanding broader implications and trade-offs
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
