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

You are expected to contribute to the development of AI-driven control and optimization technologies that will pave the way for transition from automation to autonomy. Forge partnership to test new AI-driven solutions in real world setting is a major requirement for this position.

You will report to the Director - AI.

Your Responsibilities:

• Participate in the algorithmic development, testing, and POC deployment of AI-driven control and optimization solutions
• Capture the feedback from POC engagements and incorporate lessons learned back into the AI engine.
• Create and execute required test scenarios/plans to ensure complete testing of AI solution and its components
• Architect AI solution for integration with real-time control loop in Industrial Automation applications.
• Collaborates with product owners and stakeholders to ensure alignment of AI architecture with business priorities
• Proactively monitor industry trends and identify opportunities to implement new technologies
• Help create a culture of openness and transparency
• Build strong relationships with technical and business stakeholders across the organization

The Essentials - You Will Have:

• Bachelor's Degree in Relevant Field.

The Preferred - You Might Also Have:

• Masters or Ph.D in Engineering, Physics, or Computer Science.
• Typically requires a minimum of 8 years of related experience.
• Familiarity with the AI/ML-driven modeling and first-principles modeling of complex systems is a must
• Familiarity with optimization theory (e.g., LP, NLP, MILP, MINLP)
• Experience with python programming language
• Enthusiasm towards learning new technologies is a must
• Familiarity with AI/ML/DL libraries (e.g., PyTorch)
• Familiarity with optimization solvers (e.g., IPOPT, CPLEX, BARON)
• Familiarity with cloud solution (e.g., Azure, AWS)
• Familiarity with edge deployment (e.g., Nvidia Orin/Jetson, Arduino)

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 where you will work with your manager to enjoy a work schedule that can flex with your personal life.

This position is part of a job family. Experience will be the determining factor for position level and compensation.

For this role, the Base Salary Compensation is from Total Base Pay Range 125,680.00 - 188,520.00 CAD Annual with an annual target bonus of 8% of base salary. Actual pay will be based on factors such as skills, knowledge, education, and experience.

This posting is for an existing vacancy within our organization

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

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We are an Equal Opportunity Employer including disability and veterans.

If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (519) 618-4899.