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Field Application Engineer (Machine Learning) at quadric, Inc. 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 Sales, Marketing, Product, and Engineering teams to provide pre-sales (and some 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 Sales to position and sell the Quadric products. . Defend to customers the unique Quadric architecture and its advantages compared to all other edge AI IP solutions. . Work with customers during evaluations to install the 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. . Set up regular technical discussions with customers to help them understand Quadric deliverables, and resolve customer issues with engineering support as well as conducting regular follow-up and monitoring. . Deliver periodic training sessions. . Coordinate with the Sales and Engineering teams in formulating the product specifications according to the customer's needs. . Conduct project feasibility studies. . Some travel required (Internationally to U.S. California headquarters occasionally for training, and within the region as necessary). . . Bachelor’s degree in Electronics Engineering and/or Computer Science field and 5+ years experience in engineering. . Minimum 3+ years experience working directly with customers in support of Sales or Business Development activities. . Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision. . Fluent in Chinese & English. . 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 selling/supporting semiconductor intellectual property (IP) 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.. . Solid understanding of semiconductor development process (RTL, GDS, ASIC, etc.). . Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades. . Company Location: Taiwan.