NVIDIA
Account Manager - Semiconductor
$148K–$305K
US, CA, Santa Clara +1 · Manager · Full-time · Posted Sep 4, 2026
- Location
- US, CA, Santa Clara
US, CA, Remote - Experience
- 5+ years of technology sales leadership experience.
- Education
- Degree in engineering or a related technical discipline, or equivalent relevant experience; master’s degree or MBA is highly desirable.
About the job
Drives NVIDIA’s semiconductor and Physical AI ecosystem go-to-market strategy, partnerships, and sales to grow adoption, pipeline, and revenue.
What you'll do
- Prioritize ecosystem providers and establish go-to-market plans with local and global partners.
- Lead Physical AI go-to-market execution, monitor performance, and optimize revenue and pipeline growth, including closing complex deals.
- Coordinate full-system solutions and strategic feedback with internal teams, and represent NVIDIA at industry events.
What they ask for
- 5+ years of technology sales leadership experience with a consistent record of exceeding revenue and growth targets.
- Deep AI/ML expertise, particularly in enterprise AI, foundation models, and large language models (LLMs).
- Demonstrated success building executive relationships, strategic partnerships, and leading complex deals in matrixed organizations.
- Degree in engineering or a related technical discipline, or equivalent relevant experience; willingness and ability to travel up to 25%.
Nice to have
- Master’s degree or MBA.
- Experience growing revenue for innovative technology solutions, particularly Physical AI; knowledge of pricing strategies and channel economics.
Pay
148,000 USD - 235,750 USD (cash compensation; 85% base salary and 15% variable compensation) for Level 3; 200,000 USD - 304,750 USD (cash compensation; 85% base salary and 15% variable compensation) for Level 4
Tools
NVIDIA DSX, AI Infrastructure, EDA, Physical AI, foundation models, large language models (LLMs), cloud technologies, on-premises data center
AI focus
Drive enterprise adoption and go-to-market for AI technologies and the Physical AI ecosystem, including foundation models and LLMs.
Model-written summary · the original posting is authoritative