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.

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.).

• 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

• 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.

• 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