GM Canada's 2028 eyes-off driving target hinges on university talent pipeline

General Motors plans to bring its first eyes-off driving system to market in 2028, embedded in the Cadillac Escalade IQ electric SUV. The target, disclosed by GM Canada executives, sets a concrete deadline for the industry's shift toward software-defined vehicles. These are cars that run on millions of lines of code, improve through over-the-air updates, and take on more driving responsibilities.

Getting there requires more than advances in artificial intelligence and sensor fusion. It demands a deep bench of engineers who can move between hardware, software, and safety certification. GM is building that capacity through its Canadian Technical Centre, a network of three Ontario sites that employ more than 1,100 engineers. The Markham campus is one of GM's largest software hubs outside the United States.

Sahar Kokaly, a software engineering manager at GM Canada, described the moment as an inflection point. “We’re moving from an automotive industry to an auto-tech industry,” she said. “This tech portion is really going to frame where we’re headed moving forward.” Kokaly co-leads the company's Academic and Scientific Partnerships program, which connects university research with GM's engineering priorities.

The partnerships program is the mechanism. GM works with researchers at the University of Waterloo on crash-simulation modelling. The simulations let engineers test materials virtually before building physical prototypes. With McMaster University's Centre for Software Certification, the company is advancing research on certifying safety-critical code. That certification is a prerequisite for any autonomous system. A third project, with the University of Toronto, tackles harsh-weather autonomy. It is a distinctly Canadian problem: helping vehicles see and steer through snow and ice, plus poor visibility.

Kokaly's team also shapes hackathons and capstone projects, along with competitions such as AutoDrive and EcoCar. The company's 55-acre McLaughlin Advanced Technology Track in Oshawa is used for real-world vehicle testing. Co-op terms and internships, plus visiting scientist roles, bring students into the industry before they graduate. The program draws on universities from coast to coast because the skills software-defined vehicles demand – software, data science, and cybersecurity – are spread across disciplines, not concentrated in one region.

“We’re making sure we’re using strong research across the country,” Kokaly said.

The read-through for the broader auto-tech sector is clear. Every major automaker and supplier is competing for the same talent pool: engineers trained in software, data science, and cybersecurity who can work across disciplines. GM's approach, tying academic research directly to engineering priorities, mirrors strategies at Tesla, Waymo, and Mercedes-Benz. The difference is the scale of the Canadian network and the deliberate national reach.

The 2028 target for eyes-off driving in the Cadillac Escalade IQ will test whether that pipeline can deliver. Autonomous systems require reliability that consumers will trust with their safety. As Kokaly put it, a vehicle is “a product that has potential to cause harm.”

For students and early-career engineers, the shift creates an opportunity to work on technology still being defined. Kokaly advises against boxing in too early. “Specialization is definitely important,” she said. An interdisciplinary and system-level way of thinking, and the ability to connect different disciplines, is how the industry succeeds in building its products.