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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:

+ Work with Business Development to sell the technology from quadric.io

+ Work with customers to install 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..

+ Work with business development to prepare technical proposals and statements of work, working with the customer to gather requirements.

+ Set up regular technical discussions with customers to help them understand quadric deliverables and resolving customer issues with engineering support as well as conduct regular follow-up and monitoring.

+ Deliver periodic training sessions

+ Coordinate with the Sales and Engineering team in designing proper application systems and formulating the product specifications according to the customer's needs.

+ Interface with product marketing and engineering

+ Conduct project feasibility studies

+ Some travel required

Requirements

+ Bachelor’s in computer science and/or Electronics Engineering field.

+ Minimum 3+ years experience working with customers/business development supporting SDKs.

+ Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision.

+ 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 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.

+ Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades.

Benefits

+ Health Care Plan (Medical, Dental & Vision)

+ Retirement Plan (401k, IRA)

+ Life Insurance (Basic, Voluntary & AD&D)

+ Paid Time Off (Vacation, Sick & Public Holidays)

+ Family Leave (Maternity, Paternity)

+ Short Term & Long Term Disability

+ Training & Development

+ Work From Home

+ Free Food & Snacks

+ Stock Option Plan