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AI/HPC Field Application Engineer

AI/HPC Field Application Engineer
by Admin on 09-18-2023 at 2:53 pm

  • Full Time
  • Burlingame, CA
  • Applications have closed

Website Quadric

Role:

The Field Application Engineer (FAE) will work closely with Business Development, Product, and Engineering to provide pre-and post-sales technical customer support. This position requires excellent customer communication and troubleshooting skills to conduct remote and on-site training and product presentations. This position is a technical position that will require additional skills such as system debugging, coding, scripting. Candidates are expected to work independently and acquire expert-level skills with the in-house built product line including HPC Hardware (IP, Chips, Boards), SDK, Algorithms (NN, DSP, Vision, Path Planning, etc.).

Responsibilities:

  • Work with Business Development to sell the technology from quadric.io
  • Work with customers to install SDK and algorithms and analyze customer systems to determine the best HW/SW solutions for their system.
  • Analyze technological problems brought in by customers and communicate with engineering for the best solution..
  • Work with business development to prepare technical proposals and statements of work, working with the customer to gather requirements.
  • Set up regular technical discussions with customers to help them understand quadric deliverables and resolving customer issues with engineering support as well as conduct regular follow-up and monitoring.
  • Deliver periodic training sessions
  • Coordinate with the Sales and Engineering team in designing proper application systems and formulating the product specifications according to the customer’s needs.
  • Interface with product marketing and engineering
  • Conduct project feasibility studies
  • Some travel required

Requirements

  • Bachelors in Computer Science and/or Electronics Engineering field
  • Minimum 4 years’ previous experience in related field
  • Experience with NN, DSP, Video and other algorithms
  • Automotive experience ADAS/AV preferred.
  • Knowledge of sensor environments, Video, Radar or Lidar strongly preferred
  • Must be able to demonstrate basic knowledge of software perception systems, Lidar preferred, but Computer Vision is also accepted
  • Experience with computer languages. Python required, C++ preferred.
  • Experience with computer networking, router configuration, IP masking, etc
  • Experience with Linux command line, Git, spreadsheets, Jira, and Confluence
  • Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades

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