Field Application Engineer

Machine Learning

Confirmed live in the last 24 hours



51-200 employees

Licensable processor IP for ML inference

AI & Machine Learning

Mid, Senior

Burlingame, CA, USA

Required Skills
Data Structures & Algorithms
Operating Systems
Computer Vision
  • Bachelor’s in computer science and/or Electronics Engineering field.
  • Minimum 3+ years experience working with customers/business development supporting SDKs.
  • Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision.
  • 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 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.
  • Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades.
  • Work with Business Development to sell the technology from quadric.io.
  • Work with customers to install 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.
  • Work with business development to prepare technical proposals and statements of work, working with the customer to gather requirements.
  • Set up regular technical discussions with customers to help them understand quadric deliverables and resolving customer issues with engineering support as well as conduct regular follow-up and monitoring.
  • Deliver periodic training sessions.
  • Coordinate with the Sales and Engineering team in designing proper application systems and formulating the product specifications according to the customer's needs.
  • Interface with product marketing and engineering.
  • Conduct project feasibility studies.
  • Some travel required.

Quadric has developed the Chimera GPNPU, a licensable processor IP core that seamlessly intermixes scalar, vector, and matrix code, delivering high ML inference performance and running C++ code without artificial partitioning. The GPNPU scales from 1 to 64 TOPs, offering a unified hardware/software architecture optimized for on-device machine learning inference.

Company Stage

Series B

Total Funding



Burlingame, California



Growth & Insights

6 month growth


1 year growth


2 year growth