Robotics Researcher - Physical AI

Rockwell Automation•Waterloo, ON

82d•Hybrid

About The Position

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description As a Robotics Researcher, you will live at the intersection of deep theory and hands-on implementation. Your primary directive is to push the boundaries of what AI and robotics can do in the physical world including bridging the gap between whiteboards and shop floors, turning high-level AI theory into tangible, autonomous action. You will lead innovative projects that encompass the full stack of physical intelligence, from high-level reasoning to low-level control, redefining what is possible in the factories of tomorrow. As a key member of the RCoE, you are encouraged to stay at the cutting edge: you will attend conferences, publish your findings, and file patents for world-first technologies. Your focus will be on building embodied intelligence including developing Vision-Language-Action (VLA) models, World Models, and Reinforcement Learning (RL) frameworks that allow robots to see, reason, and manipulate the world with human-like dexterity. You will report to Sr. Manager, Mobile Robot Technology. You will work Hybrid in Waterloo, ON.

Requirements

You will have Bachelor's Degree or Equivalent Years of Relevant Work Experience
Legal authorization to work in the Canada is required.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Nice To Haves

Typically requires a minimum of 2 years of related experience
Up to 10% travel for tradeshows, events.
Graduate degree (Masters or PhD) in Computer Science, Robotics, or related field.
A proven track record of research excellence with publications in top conferences / journals.
Deep theoretical and practical knowledge in Reinforcement Learning, Vison Language Models, and/or World Models.
Proven experience in robotic grasping, 6D pose estimation, and multi-modal sensor fusion (Vision, Tactile, Force/Torque).
You have an excellent talent for software design and innate ability in understanding unfamiliar systems and their workings
Experience developing and curating large multi-modal training dataset from real-world and synthetic data.
Hand-on experience with PyTorch, TensorFlow, Issac Lab, etc
Skill in using simulation environments for data generation and policy verification.
A track record of solving complex, unstructured problems in the robotics domain.
Experience with high-performance ML systems (CUDA, TPUs, JAX, Warp)
Experience with distributed GPU computing
Experience with ROS/ROS2
Experience engaging with the open source community with track record of working with maintainers to improve libraries.

Responsibilities

Architect & Implement: Design and deploy state-of-the-art algorithms for robotic perception, planning, and dexterous manipulation.
Physical AI Development: Train and fine-tune large-scale foundation models (VLAs/VLMs) for real-world industrial tasks.
Simulation-to-Real: Develop advanced "sim-to-real" pipelines using them to accelerate policy training.
Technology Scouting: Investigate, benchmark, and report on emerging robotics trends and academic breakthroughs to keep ahead of the curve.
Software Excellence: Write clean, scalable, and code leveraging modern system programming languages and following software engineering best practices.
Collaborative R&D: Work closely with Business Units to optimize robotic systems for new AI-driven capabilities.
Dissemination: Document your research through technical reports, white papers, and high-impact publications.