quadric.io

Field Application Engineer – Machine Learning

quadric.io

full-time

Posted on:

Location Type: Hybrid

Location: Pune • India

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Tech Stack

DockerLinuxPythonPyTorchTensorflowUnix

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

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