Edge AI Systems Engineer – Robotics Integration

Job Title : Edge AI Systems Engineer – Robotics Integration

Location : Vancouver, CA (Hybrid or On-site)

About the Role :

Our client, an innovator at the forefront of robotics and AI, is seeking an Edge AI Systems Engineer to accelerate machine learning deployment across real-time, embedded robotics systems. In this hands-on role, you’ll be instrumental in optimizing model performance on edge devices—making AI truly mobile and responsive. You’ll help bring advanced perception and decision-making capabilities directly to the edge, where robots interact with the world in real time.

This is a rare opportunity to join a high-growth team developing the next generation of robotic intelligence. With strong cross-functional collaboration and access to cutting-edge hardware, you’ll play a key role in shaping products that are redefining autonomy.

Key Responsibilities :

• Optimize and deploy machine learning models for real-time inference on resource-constrained edge platforms
• Convert, quantize, and compress AI models using frameworks like TensorRT, ONNX, or TFLite
• Integrate AI components with real-time sensor inputs, perception pipelines, and robotic control systems
• Build and maintain low-latency pipelines for mission-critical AI workloads including object detection, tracking, and localization
• Partner with cross-disciplinary teams (robotics, hardware, AI / ML) to ensure cohesive product integration
• Benchmark and profile model and system performance across different edge compute environments
• Contribute to end-to-end deployment strategies, from simulation to physical testing

Qualifications :

Preferred Experience :

What’s in It for You :

Take your embedded AI skills to the edge—where the future of robotics is being built.