Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Join us in revolutionizing the energy industry as part of Project NOVA (Next-gen Optimization with Visionary AI). You will work directly with our CEO and senior leadership team to build intelligent, scalable applications that drive innovation across departments, with full freedom to innovate.

Responsibilities

• 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.

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.

Skills

• AI/ML
• Robotics
• ROS 2
• SLAM
• Computer Vision
• Object Detection
• Segmentation
• Vision-Language Models
• C++
• Python
• Linux
• Git
• PyTorch
• Edge AI
• TensorRT
• Quantization
• Gazebo
• Isaac Sim

Location

• Scarborough, ON
• Pickering, ON

Work Type

• Internship
• Full-time

Experience Level

• Student

Education Level

• Degree in Robotics, Computer Science, Electrical or Computer Engineering, Mechatronics, or a related field

Salary/Compensations

• CAD $22 - $30 per hour

Benefits

• Opportunity to gain practical experience in optical current measurement technology and sustainable energy transmission.
• Work in a motivated team on forward-looking projects.
• Gain insights into the latest technologies.
• Support from experienced professionals.
• Hourly rate of pay

About the Company

• Trench Canada delivers state-of-the-art, safe, and reliable instrument transformers, coils, and bushings for seamless energy transmission.
• We have 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.
• We foster 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.

Equal Opportunity

• Trench is an equal opportunity employer and is committed to building a diverse and inclusive workforce.
• We welcome applications from all qualified individuals.
• We provide accommodations for applicants with disabilities throughout the recruitment and selection process.
• Trench uses artificial intelligence and automated tools as part of its recruitment and screening processes to support efficient and fair candidate evaluation.