Embedded Machine Learning Engineer

DEKA Research and Development; Manchester (NH); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Employee Referral Bonus

Job summary

DEKA Research and Development is seeking Embedded Machine Learning Engineers to advance autonomous systems on embedded hardware. You will design and optimize ML pipelines, implement vision and sensor fusion algorithms, and deliver production-grade Python and C++ software using ROS.

Collaboration across hardware and software teams is essential. Requirements include a Master’s degree with 5+ years in robotics/control systems, strong C++/Python skills, and experience with ROS, computer vision, and

Qualifications

• Master's degree in Computer Science, Robotics Engineering, or related engineering discipline.
• 5+ years of experience in robotics or control systems development.

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%).

Job description

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

Job 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%)

Minimum 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; and
  • 1 year of experience with software development for medical devices.

**This position is eligible for Employee Referral Bonus**