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Autonomous Driving Jobs in Ontario (NOW HIRING)

Director of Engineering

Toronto, ON ยท On-site

$180 - $260/hr

Working at an OEM or Tier-1 or Autonomous driving company in a product-centric R&D position. * Working in tech startups in senior management. * 3+ years of Full-stack development experience for ...

Lead Product Manager, Autonomy

Toronto, ON ยท On-site

CA$165K - CA$260K/yr

Perception, Prediction, Motion Planning, Localization) and the nuances of autonomous driving operations. - Experience defining operational boundaries and safety validation milestones to drive the ...

Ecopia's HD Vector Maps empower a wide range of applications such as smart cities, insurance, real estate, retail, manufacturing, utilities, logistics, autonomous driving, and augmented reality (AR)

Senior / Staff Applied Scientist

Toronto, ON ยท On-site +1

CA$146K - CA$280K/yr

To learn more visit: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ...

Applied Scientist

Toronto, ON ยท On-site +1

CA$128K - CA$184K/yr

To learn more visit: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ...

Senior / Staff Software Engineer, Mapping

Toronto, ON ยท On-site +1

CA$141K - CA$242K/yr

You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We ...

Conduct manual and autonomous driving tests while ensuring safety and compliance with testing protocols. * Log test data, report anomalies, and provide detailed feedback to engineering and ...

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of ...

Research Scientist, World Models

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

To learn more visit: www.waabi.ai Waabi's autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research ...

Job Family: Supply Chain As part of Astemo focusing on world-leading advanced mobility solutions within the fields of electrification, autonomous driving, and connectivity to help reduce ...

Job Family: Supply Chain As part of Astemo focusing on world-leading advanced mobility solutions within the fields of electrification, autonomous driving, and connectivity to help reduce ...

Senior / Staff Graphics Software Engineer

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

To learn more visit: www.waabi.ai As a Graphics Software Engineer, you will create the next generation of multi-sensor rendering software for autonomous driving. You will collaborate with our team of ...

Research Engineer, World Models

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

To learn more visit: www.waabi.ai Waabi's autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the ...

Research Engineer, Neural Rendering

Toronto, ON ยท On-site +1

CA$134K - CA$235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with ...

As part of Astemo focusing on world-leading advanced mobility solutions within the fields of electrification, autonomous driving, and connectivity to help reduce environmental damage, decrease ...

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Autonomous Driving information

What are some common challenges faced by professionals working in autonomous driving roles?

Professionals in autonomous driving often encounter challenges such as integrating complex sensor data, ensuring the reliability of AI algorithms in unpredictable environments, and meeting strict safety and regulatory standards. Collaboration is key, as teams typically work cross-functionally with hardware, software, and quality assurance groups to solve technical issues and validate system performance. Adapting to rapidly evolving technology and maintaining clear communication across disciplines are essential for success in this dynamic field.

What is the difference between Autonomous Driving vs Autonomous Vehicle Software Engineer?

AspectAutonomous DrivingAutonomous Vehicle Software Engineer
Required CredentialsEngineering degrees, specialized training in AI, robotics, or automotive systemsComputer science, software engineering degrees, programming skills in C++, Python
Work EnvironmentResearch labs, automotive companies, testing facilitiesSoftware development teams, automotive tech companies, simulation environments
Industry UsageDeveloping and testing autonomous vehicle systemsDesigning and coding software for autonomous vehicle functions
Common Search/ComparisonYesYes

Autonomous Driving focuses on the overall development, testing, and deployment of self-driving vehicle systems, often involving hardware integration and real-world testing. Autonomous Vehicle Software Engineers primarily concentrate on coding, software design, and algorithm development for autonomous vehicle functionalities. Both roles require technical expertise, but Autonomous Driving is broader, encompassing system integration, while Autonomous Vehicle Software Engineers specialize in software development within the autonomous vehicle industry.

What are the key skills and qualifications needed to thrive in an autonomous driving engineer role, and why are they important?

To thrive as an Autonomous Driving Engineer, you need a solid background in computer science, robotics, and engineering, often demonstrated by a relevant degree and experience in machine learning or computer vision. Proficiency with programming languages such as Python and C++, as well as familiarity with simulation tools, ROS (Robot Operating System), and sensor integration (e.g., LiDAR, radar), is essential. Strong problem-solving abilities, collaboration skills, and adaptability help you effectively tackle complex technical challenges and work within multidisciplinary teams. These skills ensure the development of safe, reliable, and innovative autonomous vehicle systems that meet rigorous industry standards.

What is autonomous driving?

Autonomous driving refers to the use of technology to enable vehicles to navigate and operate without direct human input. These vehicles use a combination of sensors, cameras, radar, and artificial intelligence to perceive their environment and make driving decisions. The goal is to improve road safety, reduce human error, and increase transportation efficiency. Autonomous driving systems are typically categorized by levels, ranging from driver assistance to fully self-driving vehicles. This field is rapidly evolving, with ongoing research and real-world testing by automotive and technology companies.

Which car companies offer autonomous driving?

Several major car manufacturers offer autonomous driving features, including Tesla, General Motors (with its Super Cruise system), Ford, BMW, Mercedes-Benz, and Volvo. These companies develop and deploy varying levels of driver-assistance technologies, often requiring specialized skills in software, sensors, and safety standards for autonomous vehicle development.
What job categories do people searching Autonomous Driving jobs in Ontario look for? The top searched job categories for Autonomous Driving jobs in Ontario are:
Infographic showing various Autonomous Driving job openings in Ontario as of August 2026, with employment types broken down into 64% Full Time, 34% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Director of Engineering

NuPort Robotics Inc.

Toronto, ON โ€ข On-site

$180 - $260/hr

Other

Posted 13 days ago


Job description

As NuPortโ€™s Director of Engineering, you will be accountable to the CEO / CTO for developing and executing technical roadmaps. You will lead an engineering team of Roboticists and Machine Learning Engineers to deliver an industry leading autonomous driving tech for the transportation market. Overall, you will define the Companyโ€™s Engineering and Software Architecture foreseeing the long-term path. It is preferred that the position be based in the Greater Toronto Area, however remote positions will also be considered for a short duration. The position will involve travel to partner and customer locations globally. This is preferably a full time role, part-time and contract positions also applicable.

Preferred experience:
  • PhD in Computer Science, Electrical engineering, Mechanical Engineering or other technical field with 7+ years of Industry Experience in a computer vision / Sensors / Robotics / Hardware for the automotive market.
  • Strong C++, Python and ROS skills.
  • Strong experience with Ubuntu.
  • Knowledge of git is required
  • At least 3 years of experience in autonomous driving vehicles at a Senior position in one or more of the following
    • Working at an OEM or Tier-1 or Autonomous driving company in a product-centric R&D position.
    • Working in tech startups in senior management.
  • 3+ years of Full-stack development experience for autonomous vehicles.
  • Experience scaling and managing 5+ person teams.
  • Good understanding of current state of the art algorithms driving the automotive industry with respect to sensors, Computer vision and Deep Learning.
  • Good understanding of topics, algorithms related to localization, mapping, motion planning, controls, perception, functional safety, big data management, etc.
  • Understanding of the hardware tech-stack for autonomous vehicles.
  • Demonstrated experience in DevOps, CI/CD, and bash scripts on Linux at an industrial level.
  • Strong Understanding of functional safety components. Experience with ISO26262, Autosar, etc.
  • Some Experience in Logistics, Transportation Management, Fleet Management and/or related industry.
  • Experience in writing technical proposals including Govt. and Industry proposals, writing patents, industrial whitepapers, etc.
  • Strong presentation, demo and communication skills.
  • Experience of working in a fast-paced environment.
Functional Responsibilities:
  • Managing timely execution of technical development projects, including architecture recommendations and prioritization.
  • Closely working with product managers and architects to set up technical roadmaps and being at the forefront of technology, engineering and platform.
  • Leveraging DevOps principles to create a seamless solution for software product delivery.
  • Leading by example for a team of Engineers in different domains (perception, motion planning, sensors, etc.). For instance setting up of new APIโ€™s working with platform engineering teams, enforcing good software engineering and data analytics standards, etc.
  • Integration of the various functionalities shipped by the R&D team.
  • Responsible for cloud and data infrastructure insights to ensure integration and productivity of resources using GCP, Kubernetes, Hadoop or similar technology.
  • Providing direction and guidance in assessing and evaluating security and privacy risks, including examining the impact of new technologies shipped by various technical and R&D teams
Functional Responsibilities:

This position reports to the CEO / CTO.

Why NuPort Robotics?

At NuPort, we are leading the development of self driving technology for trucks, the first of its kind in Canada. We offer an opportunity to work on the business development of exciting technology that improves the quality of life and safety for commercial vehicles. We have a mission to automate global supply chains using self-driving trucks increasing sustainability through the adoption of clean transportation solutions. Our growing team has a can-do and will-do attitude, to build technology that can transform human lives. We have a dynamic and collaborative environment encouraging strong collaboration within the team. If this is something that makes you want to be a part of the next generation of autonomous vehicles, please reach out to us, we would be happy to discuss this further.

Compensation:

Competitive base salary plus stock option ownership in the company.

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