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 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