Staff Engineer

Found in: Talent CA C2 - 1 week ago

Toronto, Canada Oxa Autonomy Full time

Your Role

As a Staff Engineer in Trajectory Planning, you will be responsible for designing, implementing, testing, and deploying the trajectory planning software that generates the trajectories for the AV. Specifically, this role will focus on building a robust and efficient trajectory generation approach to achieve the desired AV maneuvers in a comfortable, human-like, and safe manner for different on-road and off-road applications. You will work closely with other teams in a highly cross-functional development environment. 

In this role, you will:

Lead the development, integration, and deployment of trajectory planning software that robustly and efficiently generates AV trajectories, including off-the-shelf solver evaluation and custom solver implementation. Take ownership of the trajectory planning approach and architecture with a focus on high quality functionality and APIs that allow the trajectory planner component to be used as a building block for various on-vehicle applications. Promote a cross-functional development style, working closely with other teams to realise the desired AV manoeuvres as well as their smooth, comfortable, and precise execution. Create appropriate metrics and tools to measure and benchmark the performance of the trajectory planner deployed on various AV platforms. Own the engineering lifecycle, including scoping, design, implementation, testing, deployment, and maintenance of your team's work. Influence the technical strategy within the Planning Team, ensuring alignment with your counterparts in other teams. Document and train others on your team's work, focus on improving features, and understand the business and customer value of your team's work. Spearhead hiring and onboarding at scale by defining role responsibilities and requirements, leading interviews, engaging in recruiting outreach for your team, and mentoring and developing new team members. Positively impact product quality, customer experience, and maintainability, and identify projects that improve team processes and solutions.

Requirements

What you need to succeed:

PhD in related field (Mech Eng, Aerospace, Comp Science, Robotics, Applied Mathematics) with 3+ years of industry experience is desired MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Applied Mathematics) with 5+ years of industry experience is acceptable Extensive hands-on experience of optimisation-based trajectory planning and control applications to autonomous driving. Deep practical understanding of nonlinear optimisation techniques Experience with different trajectory planning problem formulations Prior tech lead experience in a software development team focused on trajectory optimisation or vehicle/robot control (preferably within autonomous driving), guiding and mentoring team members. Strong C++ and Python software development skills, including modern C++ algorithm development and deployment in a production environment. Familiarity with modern software engineering practices, including automated testing and continuous integration. Extensive knowledge of vehicle kinematics and dynamics Experience with sampling-based trajectory planning approaches

Extra kudos:

ILQR, SQP, or Differential Dynamic Programming experience (algorithm, implementation, and deployment)Experience with RSS (Responsibility-Sensitive Safety), SFF (Safety Force Field), or related concepts. Experience with vehicle dynamics and modelling Experience with people management

Benefits

We provide:

Competitive salary, benchmarked against the market and reviewed annually Hybrid working arrangements Life Insurance AD&D Insurance Long Term Disability Insurance Critical Illness Cover Extended Health Care Dental Cover Health Spending Account Personal Spending Account Employee Assistance Program

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