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- Health insurance
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Quick apply
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Field Application Engineer (Machine Learning)

quadric, Inc -
Pune, Maharashtra

Quick apply

Job details

Full-time

Benefits

Health insurance
Paid time off
Work from home
Paid sick time

Qualifications

TensorFlow
Image processing
Operating systems
Computer Science
PyTorch
Computer vision
Electronics Engineering
UNIX
Git
English
Sales
Business development
C++
Docker
C
Bachelor's degree
Machine learning
SDKs
Customer support
Linux
Care plans
Communication skills
Python
Debugging

Full job 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.). This position will be expected to work from Quadric's Pune office on a regular basis.

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, to company off sites as needed, 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 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
Paid Time Off (Vacation, Sick & Public Holidays)
Training & Development
Work From Home
Stock Option Plan

Quick apply

Refine Your Search

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