Head of Planning and Control (Level 4 Autonomous Vehicle Startup)

Toronto, ON M6C 1R3

Employment Type: Permanent Job Category: Director - Planning & Control Job Number: 1777

Job Description

We're recruiting a Head of Planning & Controls for a Silicon Valley-based Autonomous Vehicles tech company that's opened a new product development Toronto site. If you're a team lead, manager or director in the robotics or autonomous vehicle industry, check this opportunity out as it's a unique chance to join an AV startup that is about to take off and is committed to growing their Toronto site. Oh and they have real and major customers in production. 


  • Real opportunity to commercialize AV - they solve real problems and have real customers, contracts, and revenues with some of the biggest global enterprises. 

  • Industry-leading team in robotics and AI that have worked successfully together in a distributed team model.

  • Become one of the key Toronto-based leaders & help establish the company as a leader in the Toronto AV community.

  • Collaborate with leading research teams @ U of Waterloo  and U of Toronto.


  • Build motion planning and decision-making systems for the self-driving vehicles, ensuring that the behaviour of our vehicles is safe, smooth, and predictable to other road users

  • Take responsibility for the overall planning, execution, and success of complex technical projects

  • Guide all technical aspects of development, including technical requirements definition, design, implementation, unit testing, and integration

  • Develop policies and plans to manage multi-actor interactions and plans under uncertainty

  • Model vehicle and controller dynamics and use these models to characterize and accelerate controller improvements

  • Develop and implement production-grade algorithms. Build learning approaches that adapt the above algorithms in the presence of data


  • M.S. or Ph.D.’ degree in CS, Robotics or related field

  • Strong C++ programming and software design skills 

  • Expertise implementing autonomy solutions and deploying on real-world systems

  • Extensive experience working in container based technologies like Docker

  • Strong background in data structures and algorithms

  • Familiarity with modern planning approaches including randomized search methods and trajectory optimization and modern model predictive control and other advanced control techniques

  • Experience with emerging deep learning based motion planning approaches (LSTMs, Deep Reinforcement Learning, Deep Q-learning, etc

Bonus Points:

  • Experience in the Self Driving vehicle industry

  • Experience with ROS/ROS2 or other middleware systems

  • Understanding of test and verification methodologies for automotive software

  • Experience in applying ML for control or planning problems (e.g. Imitation Learning, Behavior Prediction, Reinforcement Learning)

  • Solid technical foundation in CPU and GPU architectures, containers and numeric libraries

Apply today or contact Brandon Shim-Ping, Director of Talent, at brandon AT grossmandorland DOT com to learn more.




About gdR

Founded in 2007, gdR’s mission is to grow the leadership capacity and capabilities of people and companies in the Canadian tech ecosystem through executive search, team recruiting and leadership development. We’re actively involved in the community by creating opportunities for people to connect and learn from one another e.g. Canadian Tech at Scale (in partnership with Shopify & Uber ATG), which brings 200+ engineering leaders together.  gdR values inclusion in Canada’s tech ecosystem and partners with employers that provide equal opportunities for individuals from diverse groups. If you’re interested in moving to Canada, although we can’t sponsor you, we have put together resources to help you with your journey.  Follow gdR on LinkedIn and Twitter updates on new roles in tech.

Meet Your Recruiter

Brandon Shim-Ping
Director, Talent

Brandon Shim-Ping joined the gdR team in 2013 and leads executive and IC searches in engineering, data science and security. 

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