Field Application Engineer – Machine Learning

Field Application Engineer supporting sales with Quadric's AI products and providing technical customer support for evaluation and training sessions.

Posted 4/13/2026full-timePune • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tools & technologies

DockerLinuxPythonPyTorchTensorflowUnix

Key responsibilities & impact

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)

What you’ll need

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

Comp & perks

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Hard Skills & Tools

PythonDockerLinuxUnixPyTorchTensorflowTensorflow-LiteONNXCC++

Soft Skills

communicationcustomer supportproblem solvingtrainingcollaborationproject managementtechnical discussionfollow-upmonitoringanalytical thinking

Certifications

Bachelor’s degree in Electronics EngineeringBachelor’s degree in Computer Science