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Salary
$133k – $272k per year (Estimated)
Location
In office (Phoenix)
Employment
Full-Time
Overview
Company
Impact
Profile match
Waabi is an artificial intelligence and autonomous vehicle technology company headquartered in Toronto, Canada, founded in 2021. The company develops an end-to-end artificial intelligence software platform, known as the Waabi Driver, and a simulation environment called Waabi World to power autonomous trucks and robotaxis. It operates primarily in the North American logistics and transportation sectors through strategic partnerships with industry leaders such as Volvo, Uber Freight, and NVIDIA.

You will...

- Create Autonomous Vehicle (AV) Requirements using analytical and numerical methods, with focus on motion planning, motion control and Vehicle Dynamics (VD).

- Own the definition and requirements development of the Motion Planning, Motion Control and low level vehicle control contract.

- Create methods and use physical and simulated data to inform and verify principled requirements

Advance VD simulation in AVs.

Qualifications:

- Strong foundation in AV systems in motion planning, motion control and VD and low level actuator control.

- Strong physics and control systems knowledge.

- Knowledge of Systems Engineering and Verification and Validation (V&V) best practices.

- Knowledge of functional safety standards (i.e. ISO 26262).

- Comprehensive coding skills in Python, or other common programming languages.

- Risk modeling, translating probabilistic safety goals into physical metrics, and quantifying system uncertainty (including correlated errors).

- Requirements decomposition from high-level safety goals into detailed, verifiable functional and technical requirements for a Level 4 AV system.

- Experience in VD simulation (use) and VD tools development (build).

Bonus:

- Applied and proven experience in building end to end motion planning and control systems systems.

- Commercial trucking actuator system and truck dynamics and control.

- Applied and proven experience of optimal control systems.

- A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics.

- Coding in Rust and using build and test automation tools.

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