Job description

At NVIDIA, we are harnessing the boundless possibilities of AI to build the next generation of computing. We are turning the GPU into the living brain of computers, autonomous machines, and driverless vehicles that truly perceive and grasp the world! Achieving what has never been accomplished requires bold vision, relentless creativity, and top-tier global expertise. At NVIDIA, you will dive into a high-energy, diverse, and encouraging environment that motivates everyone to perform at their life's best work. We are looking for a visionary, upbeat lead product strategist to reshape the future of client computing for advanced workflows in the booming Embedded market. You will own a brand new portfolio of discrete GPU and long-life board technologies. These power AI, virtual reality, visualization, photorealistic rendering, and more. You will also manage the marquee client connections and lifecycle programs that make NVIDIA the platform of choice for builds that must ship for a decade. If you want to work with brilliant minds and build a lasting legacy on the global tech landscape, welcome home! What you'll be doing: • Own the Customers: Serve as the trusted point of contact for a portfolio of marquee accounts — including leaders in aerospace, robotics, autonomy, healthcare, and gaming — building executive-level 1:1 relationships and turning that trust into expanded, committed business. • Grow the Business: Drive new design wins and expand adoption into adjacent use cases, converting evaluations into multi-year, multi-thousand-unit volume. • Own the Long-Life Franchise: Run NVIDIA's long-life board program end-to-end — negotiating and administering paid long-life support agreements, managing last-time-buy (LTB) planning, reserved-inventory commitments, and end-of-life (EOL) transitions that guarantee supply for up to a decade, and pricing the premium lifecycle support customers depend on and pay for. • Partner with Sales, Finance, and Operations to build commercial terms. These include custom ASPs, volume price reductions, and extended supply agreements. The goal is to win business while protecting margin. • Build the Future: Collect raw feedback from global clients and collaborators. Use this input to compose next-generation products and set priorities for the engineering roadmap, such as ARM support, power-saving features, and custom memory configurations. • Crush the Competition: Analyze the competitive landscape — dissecting features, benchmarking performance, and improving the value proposition of the embedded portfolio. • Lead the Charge: Orchestrate high-impact collaborations across Engineering, Operations, Sales, Campaign teams, and ODM/AIB partners (PC Partner, Advantech, PNY, ADLink) to drive massive New Product Introductions (NPI). • Own the Lifecycle: Run the entire product lifecycle from initial concept to launch, scale, long-life support, and strategic transition. • Bridge the Gap: Act as the ultimate translator, turning deep technical GPU milestones into high-value business wins for senior executives and partners. What we need to see: • The Foundation: BS/MS in engineering (or equivalent experience). • The Track Record: Over 12 years of experience leading advanced hardware and software platforms. Proven ability to manage customer relationships and increase revenue and account growth. • The Approach: An MBA or equivalent experience that blends sharp technical depth with strong business insight — comfortable structuring pricing, discounts, and multi-year supply commitments. • The Long View: Experience with product lifecycle management — EOL, last-time-buys, long-life supply planning, and inventory/BOM management — is a significant advantage. • The Execution: Strong analytical and project management skills to solidify rock-solid recommendations for senior management. • The Drive: A self-starter attitude with the ability to multi-task, prioritize, and thrive inside a fast-paced environment. • The Voice: Exceptional communication and presentation skills, plus a readiness to travel (minimum 25%) to meet customers and partners where they are. Ways to stand out from the crowd: • You have a proven history of launching technical products and managing them through their full lifecycle — including long-life and supply-assurance programs. • Has a history of being the person a fast paced, sophisticated customer calls first — and you've turned that relationship into new revenue. • Exhibits deep, authentic curiosity about the AI landscape and love tearing down rival products to find the winning edge. • Possess an intimate understanding of how developers and customers use GPUs to create, design, and explore in the Embedded space. • Exhibits a solid grasp of artificial intelligence, machine learning, and deep learning techniques to revolutionize customer workflows. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 27, 2026. 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.

Requirements

Must-haves

Grow the Business: Drive new design wins and expand adoption into adjacent use cases, converting evaluations into multi-year, multi-thousand-unit volume.
Partner with Sales, Finance, and Operations to build commercial terms. These include custom ASPs, volume price reductions, and extended supply agreements. The goal is to win business while protecting margin.
Crush the Competition: Analyze the competitive landscape — dissecting features, benchmarking performance, and improving the value proposition of the embedded portfolio.
Lead the Charge: Orchestrate high-impact collaborations across Engineering, Operations, Sales, Campaign teams, and ODM/AIB partners (PC Partner, Advantech, PNY, ADLink) to drive massive New Product Introductions (NPI).
Own the Lifecycle: Run the entire product lifecycle from initial concept to launch, scale, long-life support, and strategic transition.
Bridge the Gap: Act as the ultimate translator, turning deep technical GPU milestones into high-value business wins for senior executives and partners.
The Foundation: BS/MS in engineering (or equivalent experience).
The Track Record: Over 12 years of experience leading advanced hardware and software platforms. Proven ability to manage customer relationships and increase revenue and account growth.
The Approach: An MBA or equivalent experience that blends sharp technical depth with strong business insight — comfortable structuring pricing, discounts, and multi-year supply commitments.
The Long View: Experience with product lifecycle management — EOL, last-time-buys, long-life supply planning, and inventory/BOM management — is a significant advantage.
The Execution: Strong analytical and project management skills to solidify rock-solid recommendations for senior management.
The Drive: A self-starter attitude with the ability to multi-task, prioritize, and thrive inside a fast-paced environment.
The Voice: Exceptional communication and presentation skills, plus a readiness to travel (minimum 25%) to meet customers and partners where they are.
You have a proven history of launching technical products and managing them through their full lifecycle — including long-life and supply-assurance programs.
Has a history of being the person a fast paced, sophisticated customer calls first — and you've turned that relationship into new revenue.
Exhibits deep, authentic curiosity about the AI landscape and love tearing down rival products to find the winning edge.
Possess an intimate understanding of how developers and customers use GPUs to create, design, and explore in the Embedded space.
Exhibits a solid grasp of artificial intelligence, machine learning, and deep learning techniques to revolutionize customer workflows.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 27, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

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Keywords to mirror

aimachine learning

Platform: eightfold
Effort: medium

Benefits

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