AI & Robotics Co-op – Guelph, ON

Connect Tech Inc.; Guelph; Hybrid; CAD 25,000 - 36,000; Part time

Benefits offered by this job

Friendly community atmosphere

Low turnover 40+ years of success

Collaborative workplace

Job summary

Connect Tech Inc. is seeking a hands-on co-op student to work at the intersection of AI software and embedded hardware. You will contribute to prototypes, internal research, and customer-facing demonstrations, benchmarking, and deployment workflows with cameras, sensors and robotics platforms.

Ideal candidates are curious, quick learners and able to turn emerging AI tech into reliable hardware-enabled systems. Strong Python/C++ skills and Linux experience are preferred.

Qualifications

• Enrolled in a technical program with interest in AI, robotics and embedded hardware.
• Solid programming fundamentals in Python and/or C++.
• Experience with Linux, Git, and shell scripting helpful.
• Foundational ML/vision concepts and robotics basics expected.

Responsibilities

• Contribute to technical prototypes and internal research.
• Assist with customer-facing demonstrations and benchmarking.
• Support deployment workflows involving cameras, sensors, and robotics platforms.
• Document findings and communicate results to the team.

Skills

Python

C++

Linux

Shell scripting

Git

Robotics concepts

Debugging

Education

Currently enrolled in Computer Science / Computer Engineering / Mechatronics / Robotics / Electrical Engineering / Software Engineering or related program

Tools

ROS2

MoveIt2

ROS/ROS2 tools

NVIDIA Jetson

OpenCV

Docker

CUDA-X / TensorRT

Job description

CTai LABS is Connect Tech’s applied AI engineering group focused on bringing advanced Artificial Intelligence workloads out of the cloud and into real-world edge systems. Our work spans Physical AI, Agentic AI, computer vision, robotics, multimodal models, and optimized deployment on NVIDIA Jetson platforms.

We are looking for a hands-on co-op student who is excited to work at the intersection of AI software and embedded hardware. You will contribute to technical prototypes, internal research, customer-facing demonstrations, benchmarking, and deployment workflows involving cameras, sensors, robotics platforms, and modern AI models.

This role is ideal for someone who enjoys experimenting, debugging, learning quickly, and turning emerging AI technology into systems that actually run reliably on hardware.

Who We Are

For over 40 years, Connect Tech has built a solid reputation providing high-performance computing solutions for some of the world’s most influential companies. As an NVIDIA Elite Partner, Connect Tech’s products are used in state-of-the technology on land, sea, sky, and space. With leading-edge design and manufacturing services backed by stellar technical support, our commitment to excellence in design and customer satisfaction is the driving force behind our success.

What We Offer

• Opportunity to work within a high-tech, leading-edge technology field with products that appear in some really cool applications! (Robots, Drones, Artificial Intelligence, Vision Systems)
• A dynamic, energetic and growing company with a friendly community atmosphere
• A collaborative and supportive workplace that values the contributions and ideas of our staff, and are proud of our extremely low turnover rate throughout our 40+ year history
• Employees who have great passion for their work and who are always looking for ways to propel Connect Tech to the next level

Requirements

• Currently enrolled in Computer Science, Computer Engineering, Mechatronics, Robotics, Electrical Engineering, Software Engineering, or a related program.
• Strong programming fundamentals, preferably in Python and/or C++.
• Comfort working in Linux environments, including command-line tools, AI agent harnesses, package management, Git, and basic shell scripting.
• Foundational understanding of machine learning, deep learning, generative AI, computer vision, and robotics concepts.
• Ability to independently investigate technical problems, test ideas, document findings, and communicate results clearly.
• Willingness to work with physical hardware including embedded systems, cameras, sensors, GPUs, networking equipment, and robotic platforms.

Qualifications and Expected Skills:

• Experience with PyTorch, ONNX, vLLM, OpenCV, HuggingFace, or similar AI/ML/Serving frameworks.
• Exposure to NVIDIA Jetson, CUDA-X stack, TensorRT, DeepStream SDK, or GPU-accelerated inference.
• Experience with ROS2, Isaac ROS, Isaac Sim, SLAM/VSLAM, navigation (Nav2), robotic arms (MoveIt2), or sensor integration is a strong asset.
• Interest in LLMs, VLMs, VLAs/WAMs, RAG, AI agents, multimodal systems, or local model deployment.
• Familiarity with Docker, REST APIs, networking, camera streams (RTSP/HTTP, GMSL, USB, etc.).
• Familiarity with benchmarking model performance such as latency, throughput, GPU utilization, memory usage, and power consumption.
• Ability to write clear technical documentation and present experimental results to engineering teams.
• Curiosity about emerging AI technologies and the judgment to distinguish impressive demos from solutions that can survive production.

You Will Learn:

• Practical exposure to production-oriented AI deployment,
• NVIDIA edge computing
• Robotics,
• System optimization

The process of turning research-grade models into reliable real-world applications.

Connect Tech is committed to providing barrier-free and accessible employment practice in compliance with the Accessibilities for Ontarians with Disabilities Act (A.O.D.A.). In compliance with the A.O.D.A., Connect Tech will make necessary accommodations for applicants with disabilities to support participation in the recruitment process. Please contact Human Resources if you require assistance.