quadric.io, Inc
Field Application Engineer (Machine Learning)
Remote Sales role with clear candidate location fit.
PostedJul 3, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Israel
Role overview
Field Application Engineer (Machine Learning)
Requirements and responsibilities
Readable role content extracted into sections for faster review.
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
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