HiringCafe
Posted 7mo ago

Field Application Engineer (Machine Learning)

@ Quadric
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China
RemoteFull Time
Responsibilities:Position with Sales, Explain Quadric architecture, Assist evaluations with SDK
Requirements Summary:Bachelor’s in Electronics Engineering or Computer Science; 5+ yrs engineering exp; 3+ yrs with customers in Sales/BD; Python; Docker; Linux; ML frameworks; ONNX; C/C++ (CUDA/OpenVX/NEON); Git; semiconductor dev process; strong problem solving and communication.
Technical Tools Mentioned:Python, Docker, Linux, PyTorch, TensorFlow, TensorFlow-Lite, ONNX, CUDA, OpenVX, NEON, Git
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Job Description

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)