Staff Software Systems Engineer, Behavior Validation
General MotorsFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
An undergraduate degree is required, with a Master's or PhD in an engineering discipline preferred, along with 3+ years of experience in automotive, robotics, aerospace or related industries.
Key skills include experience with requirements and metrics for driving behavior evaluations, building complex driving behavior scenarios, methods like STPA, SOTIF (ISO 21448) and UL 4600, strong fundamentals in mathematics, engineering and physics, plus excellent data analysis skills with Python or Matlab.
Waabi has offices in Toronto, San Francisco, Dallas, and Pittsburgh. Remote work policy is not specified in the job description.
Waabi seeks diverse, innovative, and collaborative candidates who want to positively impact the world, with a world-class team focused on unleashing AI for safe self-driving technology.
Strong candidates have the required experience and skills, plus soft skills like the ability to communicate complex concepts simply, being an open-minded collaborative communicator, and passion for self-driving technologies and innovative solutions.
Develops self-driving technology for trucking
Waabi focuses on developing self-driving technology specifically for the trucking industry. Their main product, the Waabi Driver, is designed to learn from experiences, adapt to new situations, and work with various hardware setups. This technology aims for large-scale use and is intended for integration into vehicles by original equipment manufacturers (OEMs). A key feature that sets Waabi apart from competitors is its use of Waabi World, an advanced simulation environment that allows for efficient development of their self-driving systems. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi's goal is to transform the trucking industry by providing technology that lowers operational costs and enhances safety for commercial vehicles. They aim to license their technology to trucking companies and OEMs, making it easier for these businesses to adopt self-driving solutions.