Manufacturing Jobs in Montreal, Canada (Now Hiring) — 652 open — Page 29

Company Description

Role Description

What You’ll Do

• Define the Stack: Work directly with leadership to architect the perception and autonomy systems that will power our entire fleet of robots.
• Build the Perception Pipeline: Design and deploy production-grade computer vision systems — object detection, scene understanding, 3D reconstruction, and 6D pose estimation, LLVM, VLA models — that perform reliably in dynamic, unstructured environments.
• Enable Embedded Intelligence: Develop and optimize perception and reasoning models to run efficiently on embedded hardware with strict latency and memory constraints.
• Drive Full-Stack Autonomy: Architect the reasoning and planning layer that connects perception, semantic task understanding, and low-level robot control into a unified system — one that handles uncertainty and acts without human intervention.
• Production-Grade Engineering: Write, review, and maintain mission-critical code for our core robotics stack, establishing the engineering standards for the entire company.
• Optimize & Scale: Continuously profile robotic software to maximize throughput and reliability across our growing fleet of deployed robots.

Qualifications

• Education: PhD or MS in Robotics, CS, or related field with a track record of publications at CVPR, ICCV, ECCV, ICRA, or CoRL.
• Experience: 3+ years shipping perception or autonomy software on physical robotic systems.
• Computer Vision Depth: Strong expertise in 3D vision, semantic segmentation, multi-view geometry, and/or foundation models for pose estimation.
• Reasoning & Planning: Familiarity with spatial reasoning, task planning, and integrating vision-language models (VLMs) into robot decision loops. Familiarity with SLAM, visual odometry, or world modeling.
• Engineering Excellence: Production-level proficiency in Python and C++ with a track record of building robust, maintainable systems.

Why Join Us

• Ownership: We offer a substantial equity package designed for those who believe in our mission and want to be rewarded for the company's long-term success.
• Impact: Work directly on real-world projects and see your code deployed in the real world immediately. We are already shipping robots in production.
• Culture: A collaborative, high-velocity supportive environment conducive to both personal and professional growth.