- 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 other objective job-related factors. The expected base salary range for this position 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 November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.