Field Application Engineer (Machine Learning)

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. 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