Embedded Machine Learning Engineer

DEKA Research and Development is seeking Embedded Machine Learning Engineers (Multiple Openings) to join our engineering team.

Responsibilities

• Research and create linear/nonlinear and optimal control algorithms, computer vision algorithms, and sensor fusion algorithms (10%)
• Write production level code in Python and C++ (20%)
• Implement detection algorithms on a robot using Robot operating system (10%)
• Develop low memory and power efficient libraries for inter-process communication (5%)
• Develop pipelines for machine learning training and deployment (15%)
• Develop machine learning algorithms for regression, detection and volumetric estimation (20%)
• Develop an optimized machine learning code for deployment on embedded devices and hardware accelerated devices (20%)

Requirements

• Master’s degree, in Computer Science, Robotics Engineering, or related engineering discipline, or foreign degree equivalent, plus 5 years of experience in any suitable occupation related to the development of robotics or control systems.
• The experience (which may be gained concurrently) must also include the following:
  • 5 years of experience with use of controls and computer vision algorithms in robotics and Robot Operating System;
  • 5 years of experience with software skills in Python and C++;
  • 5 years of experience developing and designing prototype devices for detection using sensor fusion techniques;
  • 4 years of experience developing pipelines for machine learning training;
  • 4 years of experience developing machine learning algorithms for regression, detection, segmentation and volumetric estimation;
  • 3 years of experience architecting systems using software development skills;
  • 3 years of experience developing optimized machine learning code for deployment on embedded and hardware accelerated devices;
  • 2 years of experience developing low memory and power efficient C++ libraries for inter-process communication;
  • 1 year of experience with software development for medical devices.