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 Requirements + Bachelor’s in computer science and/or Electronics Engineering field. + Minimum 3+ years experience working with customers/business development supporting SDKs. + Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision. + Proficiency in Python. + Experience describing, building, running and deploying Docker containers. + Experience with Linux or Unix based operating systems. + Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite. + Experience quantizing, running and debugging neural networks with ONNX runtime a plus. + Experience supporting parallel C / C++ languages a plus (CUDA, OpenVX, NEON, etc.) + Solid understanding of intermediate git concepts such as branching, rebasing, merge conflict resolution, etc. + Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades. Benefits + Health Care Plan (Medical, Dental & Vision) + Retirement Plan (401k, IRA) + Life Insurance (Basic, Voluntary & AD&D) + Paid Time Off (Vacation, Sick & Public Holidays) + Family Leave (Maternity, Paternity) + Short Term & Long Term Disability + Training & Development + Work From Home + Free Food & Snacks + Stock Option Plan