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 Robotics Center of Excellence (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.
Primary 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.
The Essential qualifications - You will have:- Bachelor's Degree or Equivalent Years of Relevant Work Experience.
The Preferred - You Might Also Have:- Typically requires a minimum of 2 years of related experience.
- 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, Isaac 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.
What We Offer:- Health Insurance including Medical and Dental
- Health Care Spending Account (HCSA - dependent on the plan chosen)
- Employee Assistance Program (EAP)
- Retirement plans
- Paid Time off
- Volunteering Time off
- Employer Savings Plan Matching (includes RRSP, TFSA, and EPSP)
- Employer Paid DC Pension
- Maternity and Parental Leave Top-Up
- Fitness Reimbursement Program
- Flexible Work Schedule
For this role, the total target compensation is from $121,440.00 - $182,160.00 CAD Annual. Actual pay will be based on factors such as skills, knowledge, education, and experience.
This posting is for an existing vacancy within our organization.
This position is part of a job family. Experience will be the determining factor for position level and compensation.
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Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.
