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Autonomous Driving System Engineer Jobs in Ontario

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

With a world-class team, we're unlocking the next era of autonomous transportation with technology ... Your work will define the scenarios that push our self-driving system to its limits, generate the ...

Waabi

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to ... Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to ...

Kiongroup

AMR Systems Engineer

Mississauga, ON · On-site

CA$73K - CA$92K/yr

The Autonomous Mobile Robot (AMR) Systems Engineer develops the design and implementation of systems that integrate AMR hardware and associated software. The role involves working closely with ...

Kiongroup

AMR Systems Engineer

Mississauga, ON · On-site

CA$73K - CA$92K/yr

The Autonomous Mobile Robot (AMR) Systems Engineer develops the design and implementation of systems that integrate AMR hardware and associated software. The role involves working closely with ...

TSMG

ADAS Test Driver

Toronto, ON

The ADAS (Advanced Driver Assistance Systems) Tester is responsible for testing and evaluating ... Conduct manual and autonomous driving tests while ensuring safety and compliance with testing ...

Waabi

Senior / Staff ML Onboard Optimization Engineer

Toronto, ON · On-site +1

CA$141K - CA$249K/yr

  • Medical

  • Dental

  • Vision

  • PTO

To learn more visit: www.waabi.ai You will... - Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach. - Expand the model deployment ...

Quantum Space

  • Medical

  • Dental

  • Vision

  • Retirement

In this role, you will lead spacecraft-level systems engineering activities, driving requirements ... Lead end-to-end system architecture, requirements development, interface management, and ...

SNC-Lavalin

Systems Integration Engineer

Toronto, ON · Hybrid

CA$80K - CA$111K/yr

Overview The Systems Integration Engineer is responsible for driving interdisciplinary systems integration, interface coordination, and deliverable readiness across complex project environments ...

Alstom

System Engineering Group Manager

Toronto, ON

CA$130K - CA$150K/yr

  • Medical

  • Life

  • Retirement

You'll specifically take care of defining and implementing departmental guidelines, coaching team members to grow expertise in Railway Signalling Systems Engineering, and driving process improvements ...

Alstom

System Engineering Group Manager

Toronto, ON

CA$130K - CA$150K/yr

  • Medical

  • Life

  • Retirement

You'll specifically take care of defining and implementing departmental guidelines, coaching team members to grow expertise in Railway Signalling Systems Engineering, and driving process improvements ...

Proslide Technology

Systems Engineer

Ottawa, ON

  • Medical

  • Dental

  • PTO

... and driving through to completion. * Provide SME support on technical project challenges ... Safety System Validation: Lead the validation of safety-critical systems through rigorous Factory ...

Proslide Technology

Systems Engineer

Ottawa, ON · On-site

  • Medical

  • Dental

  • PTO

... and driving through to completion. * Provide SME support on technical project challenges ... Safety System Validation: Lead the validation of safety-critical systems through rigorous Factory ...

Gofractional

Principal Automation Engineer

Toronto, ON · On-site

$172.20 - $199.75/hr

... driving the transition toward a "Platform Engineering" model focused on our self-hosted physical ... Experience: 10+ years of progressive experience in Systems Engineering, Infrastructure Automation ...

Proslide Technology

Systems Engineer

Ottawa, ON · On-site

  • Medical

  • Dental

  • PTO

... and driving through to completion. * Provide SME support on technical project challenges ... Safety System Validation: Lead the validation of safety-critical systems through rigorous Factory ...

Kepler Communications

Senior Systems Engineer

Toronto, ON · On-site

CA$125K - CA$175K/yr

  • Medical

  • Dental

  • Vision

As a Senior Systems Engineer, you will be a key technical leader driving the architecture and ... Define system architectures and lead system-level engineering efforts for spacecraft and space ...

Astemo

QA Technician

Bolton, ON

  • Medical

  • Retirement

... autonomous driving, and connectivityto helpreduce environmental damage, decrease traffic accidents ... In depth knowledge of GD&T along with CMM programming skill, operation of test stands and ...

ServiceNow

Manager, Systems Engineering

Toronto, ON · On-site +1

CA$125K - CA$220K/yr

  • Medical

  • Retirement

  • PTO

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 ...

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All JobsAutonomous Driving System Engineer JobsAutonomous Driving System Engineer Jobs in Ontario

Autonomous Driving System Engineer information

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 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 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

Research Scientist, Simulation Agents

Waabi

Toronto, ON • On-site, Remote

CA$158K - CA$269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 22 days ago

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

The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road.
 
You will...
-  Own and pursue a research agenda to develop realistic and controllable simulation agents.
- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.
- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi's milestones.
- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
- Publish high-impact research at top-tier conferences in machine learning or robotics.
 
Qualifications:
- Masters/PhD in machine learning, computer science, engineering, or a related field.
- Strong background in imitation learning and/or reinforcement learning.
- Publications in top-tier conferences or journals related to machine learning or robotics.
- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax.
 
Bonus:
- Experience in self-driving, traffic simulation, or a related field.
- Proven ability to take research from prototype to production systems.
- Strong software engineering skills, including experience with large-scale training or simulation.

The US yearly salary range for this role is: $158,000 - $269,000 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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