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Autonomous Driving System Engineer Jobs in Ontario

Waabi

Senior / Staff Applied Scientist

Toronto, ON · On-site +1

CA$146K - CA$280K/yr

... self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have: * Experience in the Autonomous Vehicle or Robotics industry * Familiarity with Systems ...

ServiceNow

Manager, Systems Engineering

Toronto, ON · On-site +1

CA$125K - CA$220K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Facilitate engineering team autonomy by assisting with project planning, prioritization, Agile ...

Td

Principal Engineer - GTB Data and Platforms

Toronto, ON · On-site

CA$165K - CA$200K/yr

Operate with a high degree of autonomy, driving initiatives independently in a fast-paced and ... Strong system design and analytical skills * Experience working in Agile environments (Scrum ...

Waabi

Research Scientist, World Models

Toronto, ON · 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 ... Collaborate with engineers to integrate models into large-scale, distributed training and rendering ...

Belden Inc

Sr. Systems Engineer, Ruckus

Cobourg, ON · On-site

The Systems Engineer is responsible for providing customercentric technical sales support ... Identifying and driving the development of a territory account plan based on awareness of the ...

Astemo

Maintenance Technician

Bolton, ON · On-site

... autonomous driving, and connectivity to help reduce environmental damage, decrease traffic ... Improvement and modification of assembly/ test equipment and transfer systems. * Service and ...

Astemo

Maintenance Technician

Bolton, ON · On-site

... autonomous driving, and connectivity to help reduce environmental damage, decrease traffic ... Improvement and modification of assembly/ test equipment and transfer systems. * Service and ...

Thales

AI Solutions Engineer

Ottawa, ON · On-site

... C4ISR systems, including witnessing integration testing for autonomous sensor fusion and M&S ... Communicating system engineering direction for projects or systems. * Performing strategic ...

Quantum Space

CA$175K - CA$225K/yr

We are seeking a Principal Spacecraft Guidance, Navigation & Control Engineer to serve as the ... Background in autonomous maneuver planning or onboard decision-making systems. * Experience with ...

Telesat

UT System Integration: collaborate with UT engineering and architecture to define interfaces, ICDs ... driving decisions; * Ability to work successfully and progress on topics independently, while ...

Generac

Senior Manager, Data Engineering

Toronto, ON · Hybrid

Your expertise will help shape our future by influencing the overall strategy, driving system ... Continuously improve engineering practices-balancing speed, quality, and business impact. * Build ...

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Autonomous Driving System Engineer information

What does an autonomous driving system engineer do?

An Autonomous Driving System Engineer is responsible for designing, developing, and testing the software and hardware systems that enable vehicles to drive themselves. They work on integrating sensors, such as cameras and lidar, with algorithms for perception, localization, planning, and control to ensure safe and reliable autonomous operation. These engineers collaborate with multidisciplinary teams to validate system performance, address safety concerns, and continually improve the technology. Their work is crucial in advancing self-driving vehicles from prototypes to real-world deployment.

What are the key skills and qualifications needed to thrive as an autonomous driving system engineer?

To thrive as an Autonomous Driving System Engineer, you need a strong background in computer science, robotics, or electrical engineering, with expertise in algorithms, perception, and control systems. Familiarity with technical tools such as ROS (Robot Operating System), Python/C++, sensor fusion frameworks, and experience with simulation platforms or automotive standards like ISO 26262 is typically required. Strong problem-solving abilities, effective teamwork, and clear communication distinguish top performers in this field. These skills ensure the safe, reliable, and innovative development of autonomous vehicle technologies in a rapidly evolving industry.

How do autonomous driving system engineers typically collaborate with cross-functional teams during the development process?

Autonomous Driving System Engineers frequently work alongside specialists in hardware, software, perception, mapping, and vehicle integration. Collaboration is essential, as engineers must coordinate with sensor experts, AI developers, and safety teams to ensure all system components function reliably together. Regular meetings, integration testing sessions, and shared development platforms are common to keep everyone aligned. This collaborative environment fosters innovation and ensures that system updates and new features are rigorously tested before deployment.

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

AspectAutonomous Driving System EngineerAutonomous Vehicle Software Engineer
CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with sensor integration and control systemsBachelor's or Master's in Software Engineering, Computer Science; focus on software development and algorithms
Work EnvironmentResearch labs, automotive companies, tech firms working on autonomous systemsSoftware development teams within automotive or tech companies
Industry UsageDesigning and integrating autonomous driving systems and hardwareDeveloping software components for autonomous vehicles

The Autonomous Driving System Engineer focuses on integrating hardware and developing control systems for autonomous vehicles, while the Autonomous Vehicle Software Engineer primarily develops software algorithms and applications. Both roles often collaborate but differ in their core responsibilities and skill sets.

Autonomous Driving System Engineer jobs near you

Senior / Staff Applied Scientist

Toronto, ON • On-site, Remote

Waabi
See more jobs at Waabiexternal

CA$146K - CA$280K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 days ago

Key responsibilities

  • Design scalable production frameworks for autonomy evaluation.

  • Prototype complex deep-dive analyses, write production-quality evaluation code, and build tools and dashboards to synthesize progress.

  • Act as a key partner to Safety and Autonomy teams to ensure automated reporting captures system requirements.

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. 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 ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.


We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing.
You will...
  • Design scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage.
  • Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth.
  • Directly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership.
  • Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system.
  • Develop advanced analytical models to help correlate closed-loop simulation performance with real-world driving outcomes, quantifying the fidelity and predictive power of our evaluation metrics.
  • Serve as a subject matter expert and collaborative partner, elevating the analytical bar of the team through code reviews, methodological guidance, and helping to define best practices for end-to-end data science workflows.
Qualifications:
  • Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects.
  • MS/PhD or equivalent experience in a highly quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping
  • Expertise in statistical methods, including hypothesis testing, A/B testing on complex systems, sampling methodologies, and statistical modeling.
  • Experience working with internal cross-functional partners/stakeholders
  • Open-minded and collaborative team player with willingness to help others- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
  • Experience in the Autonomous Vehicle or Robotics industry
  • Familiarity with Systems Verification and Validation
  • Experience with large scale databases and analytics
  • Experience with workflow automation/orchestration frameworks
The US yearly salary range for this role is: $146,000 - $280,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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