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)
Requirements
- 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 Hebrew & 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
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Training & Development
- Work From Home
- Stock Option Plan
