Full-Time
Enterprise Sales Account Manager
Automotive
Posted on 5/9/2026
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
Compensation Overview
$148k - $235.8k/yr
Company Historically Provides H1B Sponsorship
Santa Clara, CA, USA + 1 more
More locations: United States
Hybrid
 Sales & Account Management (2) |
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- 5+ years of sales experience with minimum of 2 of those years in an inside sales role
- 5+ years of technology quota carrying sales experience responsible for the full sales cycle (prospecting, customer presentation/demos, negotiating, and closing the sale)
- Understanding of NVIDIA key platform technologies: NVIDIA Enterprise Support (NVAIE), Generative AI/LLMs, Software (SDK/APIs), High Performance Computing (HPC), AI/ML workloads, Digital Twins
- Experience selling and having established relationships within the Automotive industrial vertical. Exceptional customer and channel partner relationship skills within the Automotive ecosystem
- Experience with going to market and teaming with Technology Industry Channel Partners
- Skilled at selling in a Cloud environment including working with CSP, ISV, and end-user customer
- Bachelor's degree or equivalent experience
- Salesforce.com experience is required.
- Ability to travel 25%
- Attain a minimum of 100% Quota attainment selling to Automotive Accounts located in the United States
- Maintain and submit accurate forecasts
- Present NVIDIA solutions, overcome objections, negotiate and close business over the phone, TEAMS and in person
- Team with NVIDIA Channel, Business Development, Sales Leadership & Marketing to build your business and facilitate sales opportunities
- Experience working with Startup, Mid-Market, and/or Enterprise Customers
- Work closely with partners, OEMs, CSPs, and ecosystem partners to build and implement go-to-market plans
- Lead all aspects of the selling cycle to help customers expand revenue
- Develop excellent strategic relationships with customers to understand their software and computing needs
- Adept at balancing intense short-term pressures with overall long-term goals
- Knowledge of ADAS and automated driving applications and technology
- Educational degree related to technology, engineering, or AI/ML
- Excellent listening skills and ability to persuade -- using communication that convey concepts in a creative way. Technical Account Manager experience
- A polished executive presence with a track record of successfully growing revenue for new innovative technology-based solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
Simplify's Take
What believers are saying
- Toyota adopts NVIDIA DRIVE AGX Orin, boosting automotive revenue 103% in Q4 FY2025.
- SoftBank plans NVIDIA AI servers in Japan by 2030; IREN deploys 5GW infrastructure.
- NVIDIA reaches $5.5T market cap with $216B FY revenue and $400B projected FCF.
What critics are saying
- Broadcom supplies custom chips to Google through 2031, Anthropic from 2027, OpenAI.
- China revenue hits zero from $17B due to US restrictions, $4.5B Q1 2026 charge.
- B200 GPU rentals drop 30% as sentiment flips bearish, cooling FY2027 $78B guidance.
What makes NVIDIA unique
- NVIDIA invented the GPU in 1999, pioneering accelerated computing.
- CUDA platform from 2006 enables GPUs for AI and parallel computing.
- Full-stack AI infrastructure powers 80% of AI training GPUs in 2025.
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6 month growth
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↓ -3%2 year growth
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