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NVIDIA

Designs the chips and software that power AI

Field Technologist - Enterprise AI Factory

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A bachelor's degree or equivalent experience is required.
  • At least 12 years of overall experience is required.
  • Knowledge and experience with modern high-performance computing/artificial intelligence networking and/or graphics processing unit application acceleration are preferred, with 8+ years specified.
  • Familiarity with modern artificial intelligence computing techniques and software, and the ability to scale technical knowledge to serve demanding technology companies.
  • Experience building and implementing a sophisticated technical sales strategy across multiple organizations.
  • Ability to accomplish tasks on schedule with minimal direction and supervision.

Responsibilities

  • Drive technical sales alignment with product strategy and capabilities for AI Factory solutions for the accelerated data center.
  • Develop and maintain in-depth knowledge of go-to-market strategies, competitors, and the market landscape, personally and across the team.
  • Engage and develop deep customer relationships, working with account teams, solution architects, marketing, product, partner sales, independent software vendor partners, and resellers.
  • Contribute to and be responsible for revenue growth.
  • Build collaborations for revenue-generating opportunity management, promotions, sales strategies and actions, and training.
  • Drive strategic technical customer engagement to establish lighthouse accounts for key products and vertical markets, including public case studies and testimonials.
  • Coordinate with industry business development on packaging and go-to-market strategies for key verticals.
  • Provide sales and lighthouse-account feedback into product roadmaps and priorities, helping guide product strategy through technical customer engagements around operating environments, operating system choices, provisioning, orchestration, containerization methodologies, framework choices, and security.

Desired Qualifications

  • Passion for NVIDIA, graphics, high-performance computing, and artificial intelligence.
  • Knowledge of influencing business practices and products to better align with customer needs.
  • Experience selling sophisticated customer solutions and full-stack artificial intelligence solutions with a record of success.
  • Experience qualifying new customers to enable revenue opportunities, product alignment, and identification of decision makers.
  • A strong technical foundation to establish credibility with customers and/or partners.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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