Field Application Engineer (Machine Learning) at quadric, Inc

Worldwide

<p>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.</p><p></p><p>Role:</p><p>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.).</p><p></p><p>Responsibilities:</p><ul> <li>Work with Sales to position and sell the Quadric products</li> <li>Defend to customers the unique Quadric architecture and its advantages compared to all other edge AI IP solutions</li> <li>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</li> <li>Analyze technological problems brought in by customers and communicate with engineering for the best solution</li> <li>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</li> <li>Deliver periodic training sessions</li> <li>Coordinate with the Sales and Engineering teams in formulating the product specifications according to the customer's needs</li> <li>Conduct project feasibility studies</li> <li>Some travel required (Internationally to U.S. California headquarters occasionally for training, and within the region as necessary)</li> </ul> <ul> <li>Bachelor’s degree in Electronics Engineering and/or Computer Science field and 5+ years experience in engineering</li> <li>Minimum 3+ years experience working directly with customers in support of Sales or Business Development activities</li> <li>Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision</li> <li>Fluent in Chinese &amp; English</li> <li>Proficiency in Python</li> <li>Experience describing, building, running and deploying Docker containers</li> <li>Experience with Linux or Unix based operating systems</li> <li>Experience with at least one of the following neural network/machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite</li> <li>Experience quantizing, running and debugging neural networks with ONNX runtime a plus</li> <li>Experience selling/supporting semiconductor intellectual property (IP) a plus</li> <li>Experience supporting parallel C / C++ languages a plus (CUDA, OpenVX, NEON, etc.)</li> <li>Solid understanding of intermediate git concepts such as branching, rebasing, merge conflict resolution, etc.</li> <li>Solid understanding of semiconductor development process (RTL, GDS, ASIC, etc.)</li> <li>Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades</li> </ul> <ul> <li>Health Care Plan (Medical, Dental &amp; Vision)</li> <li>Paid Time Off (Vacation, Sick &amp; Public Holidays)</li> <li>Family Leave (Maternity, Paternity)</li> <li>Training &amp; Development</li> <li>Work From Home</li> <li>Stock Option Plan</li> </ul>