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.). This position will be expected to work from Quadric's Pune office on a regular basis.
Responsibilities:
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Work with Sales to position and sell the Quadric products
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Defend to customers the unique Quadric architecture and its advantages compared to all other edge AI IP solutions
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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
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Analyze technological problems brought in by customers and communicate with engineering for the best solution
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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
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Deliver periodic training sessions
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Coordinate with the Sales and Engineering teams in formulating the product specifications according to the customer's needs
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Conduct project feasibility studies
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Some travel required (Internationally to U.S. California headquarters occasionally for training, to company off sites as needed, and within the region as necessary)
Requirements
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Bachelor’s degree in Electronics Engineering and/or Computer Science field and 5+ years experience in engineering
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Minimum 3+ years experience working directly with customers in support of Sales or Business Development activities
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Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision
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Fluent in English
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Proficiency in Python
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Experience describing, building, running and deploying Docker containers
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Experience with Linux or Unix based operating systems
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Experience with at least one of the following neural network/machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite
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Experience quantizing, running and debugging neural networks with ONNX runtime a plus
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Experience selling/supporting semiconductor intellectual property (IP) a plus
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Experience supporting parallel C / C++ languages a plus (CUDA, OpenVX, NEON, etc.)
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Solid understanding of intermediate git concepts such as branching, rebasing, merge conflict resolution, etc.
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Solid understanding of semiconductor development process (RTL, GDS, ASIC, etc.)
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Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades
Benefits
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Health Care Plan
- Paid Time Off (Vacation, Sick & Public Holidays)
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Training & Development
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Work From Home
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Stock Option Plan
