Specialized Roles:
Embedded Machine Learning Engineer
Job in
Nashua, Hillsborough County, New Hampshire, 03060, USA
Listing for:
DEKA Research & Development
Full Time
position
Listed on 2026-11-09
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, Robotics, AI Engineer (Applied/Software), Embedded Systems/ Firmware/ IoT
Job Description & How to Apply Below
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.
- 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*
*
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