AI/HPC Field Application Engineer

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

Qualification

Bachelor's Degree

Experience Level

Mid-Senior level