Embedded Machine Learning Engineer

DEKA Research & Development Corp.; Manchester (NH); Vor Ort; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Employee Referral Bonus

Zusammenfassung

DEKA Research and Development Corp. is seeking Embedded Machine Learning Engineers to join our engineering team in New Hampshire. Multiple openings require a Master’s degree in CS/Robotics or related fields and at least five years of robotics/control experience.

Role involves researching and implementing ML/vision algorithms, developing production Python/C++ code, and deploying ML pipelines on embedded hardware with ROS support. On-site work only.

Qualifikationen

• Master’s degree in Computer Science, Robotics Engineering, or related engineering discipline, plus 5 years of related robotics/control systems experience.
• 5 years of experience with controls and computer vision algorithms in robotics and ROS.
• 5 years of experience with Python and C++.
• 5 years of experience developing prototype devices for detection using sensor fusion techniques.
• 4 years of experience developing pipelines for ML 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 ML 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 software development for medical devices.

Aufgaben

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

Kenntnisse

Python

C++

Robotics

Computer vision

Machine learning

Ausbildung

Master's degree

Tools

ROS

Jobbeschreibung

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**

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