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Trench Group GmbH

AI & Robotics Intern

  • Toronto, ON, Canada

$22 to $30 CAD / hour

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Job details

Pay
$22 to $30 CAD / hour
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Posting language
English
Posted

Original job description

Stellenanzeige: HR Business Partner (m/f/d) - Trench Germany GmbH

AI & Robotics Intern

Scarborough, ON & Pickering, ON | Internship (4 to 8 months) | Student (completed or in progress)

About us

In Trench Canada, we deliver state-of-the-art, safe, and reliable instrument transformers, coils, and bushings for seamless energy transmission. With a legacy of customized engineering and innovation, we enable society to harness the power of electricity with reliability and performance. We are driven by a commitment to advancing the energy sector through innovative technology and sustainable practices. Our culture emphasizes continuous improvement, attention to detail, and adaptability, while fostering an inclusive and respectful environment where diverse perspectives are valued and everyone has the opportunity to contribute and succeed.

Our Values

  • Trust
  • Responsibility
  • Excellence
  • Navigating Change
  • Candor
  • Humility

 

Overview

Are you passionate about AI/ML and robotics? Join us in revolutionizing the energy industry! As part of Project NOVA (Next-gen Optimization with Visionary AI), you'll work directly with our CEO and senior leadership team to build intelligent, scalable applications that drive innovation across departments. This is a unique opportunity to contribute to high-impact solutions while enjoying full freedom to innovate.

Your Tasks:

  • Develop and test robot software components (e.g. ROS 2 nodes) for perception, navigation, and data logging.
  • Support mapping, localization (SLAM), and autonomous navigation testing.
  • Build and improve computer vision models for object detection and scene understanding, including data collection, annotation, training, and evaluation.
  • Support deployment and optimization of models for real-time inference on edge hardware.
  • Run experiments in simulation and validate results on the physical robot.
  • Document methods, configurations, and results clearly for the team.

Problems you can help solve:

  • Detecting obstructions and trip hazards along patrol routes.
  • Verifying PPE and operator safety compliance in the test lab.
  • Confirming electrical panel clearance compliance.
  • Reading and verifying inspection tags and asset status.
  • Monitoring test lab operational status (energized vs. safe) with near-100% reliability.

Requirements:

  • Currently pursuing a degree in Robotics, Computer Science, Electrical or Computer Engineering, Mechatronics, or a related field.
  • Working knowledge of robotics fundamentals and computer vision.
  • Proficiency in programming languages such as C++ and Python.
  • Ability to write clean, maintainable, and reusable code following sound software engineering practices, suitable for use beyond one-off prototypes.
  • Familiarity with deep learning frameworks (e.g. PyTorch) and computer vision / multimodal models, including object detection, segmentation, and vision-language models.
  • Knowledge of vision-language-action (VLA) models is a plus.
  • Experience working in Linux and with version control (Git).
  • Experience with ROS 2.
  • Familiarity with edge AI hardware (e.g. NVIDIA Jetson) and inference optimization (TensorRT, quantization).
  • Familiarity with SLAM, navigation stacks (e.g. Nav2), or sensor fusion with LiDAR and depth cameras.
  • Experience with robotics simulation (Gazebo, Isaac Sim).
  • Ability to work independently and communicate technical results clearly.
  • Applicants must submit their GitHub profiles alongside resumes.
  • Comfort operating in a high-voltage industrial test lab under supervised safety protocols.

We offer:

  • The opportunity to gain practical experience in the field of optical current measurement technology and sustainable energy transmission in an innovative company
  • You will work in a motivated team on forward-looking projects and gain insights into the latest technologies
  • Support from experienced professionals in handling the latest measurement technology
  • An hourly rate of pay of CAD $22 - $30.

Our Commitment to Inclusion and Accessibility 
Trench is an equal opportunity employer and is committed to building a diverse and inclusive workforce. We welcome applications from all qualified individuals and provide accommodations for applicants with disabilities throughout the recruitment and selection process. If you require accommodation or support at any stage of the application or interview process, please contact us and we will work with you to meet your needs.

Use of Artificial Intelligence in Recruitment 
Trench uses artificial intelligence and automated tools as part of its recruitment and screening processes to support efficient and fair candidate evaluation.

Interested in Joining Us? 
If this opportunity aligns with your career goals, we encourage you to apply by clicking the “Apply Now” button and submitting your application.

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More about this job

Responsibilities

Develop and test robot software components for perception, navigation, and data logging while building computer vision models for object detection. You will run experiments in simulation and validate results on physical robots within an industrial test lab environment.

Requirements

Candidates must be currently pursuing a degree in Robotics, Computer Science, or a related engineering field. Proficiency in C++, Python, ROS 2, and experience with deep learning frameworks and edge AI hardware is required.

Skills

  • Robotics
  • Computer Vision
  • C++
  • Python
  • ROS 2
  • Deep Learning
  • PyTorch
  • Linux
  • Git
  • NVIDIA Jetson
  • TensorRT
  • SLAM
  • Nav2
  • LiDAR
  • Gazebo
  • Isaac Sim

Benefits

  • Practical experience in optical current measurement technology
  • Mentorship from experienced professionals

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Engineering
  • Energy
  • Software
  • Manufacturing

Keywords

  • AI
  • Robotics
  • Machine Learning
  • ROS 2
  • Computer Vision
  • C++
  • Python
  • SLAM
  • Navigation
  • Deep Learning
  • PyTorch
  • Linux
  • Git
  • NVIDIA Jetson
  • TensorRT
  • LiDAR
  • Gazebo
  • Isaac Sim
  • Edge AI
  • Object Detection
  • Segmentation
  • Vision-language models
  • Industrial test lab
  • Energy transmission
  • Project NOVA

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