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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:Full Time
$102k-127k (estimate)
12/01/2023
06/02/2024
quadric.io
Burlingame, CA
<25
The job skills required for Field Application Engineer (Machine Learning) include Troubleshooting, Planning, etc. Having related job skills and expertise will give you an advantage when applying to be a Field Application Engineer (Machine Learning). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Field Application Engineer (Machine Learning). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Field Application Engineer (Machine Learning) positions, which can be used as a reference in future career path planning. As a Field Application Engineer (Machine Learning), it can be promoted into senior positions as a Field Engineer III - Construction that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Field Application Engineer (Machine Learning). You can explore the career advancement for a Field Application Engineer (Machine Learning) below and select your interested title to get hiring information.