ADAS And AV Systems Engineer

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 15 million miles of autonomous driving globally.

Responsibility

As an ADAS Safety Engineer you will work on the safety of our autonomous driving features and ADAS features. A major contribution will be the elicitation of functional safety requirements and the development of verification and validation methods for Functional Safety and SOTIF. This includes the analysis of triggering events like misuse scenarios, changing environment conditions and other potential hazards associated with our ADAS features. In this role, you will use your technical skills and work cross functionally to develop engineering solutions based on existing automotive industry standards (Ie. ISO 26262, ISO 21448, UL 4600, IEEE 2846, etc.) that help define development processes, requirements, and verification of safety and performance.

• Define creative technical solutions to improve performance and  safety of ADAS features
• Develop work products in accordance with our internal safety process based on existing industry standards
• Perform hazard analysis and risk assessment based on a functional system specification and identify risk acceptance criteria
• Identify potential functional insufficiencies and triggering events by utilizing analysis techniques such as HAZOP, FTA, FMEA, STPA, and misuse analysis
• Collaborate cross functionally to ensure that our ADAS feature safety concepts and requirements are aligned with the overall system design strategy.
• Derive verification and validation test cases to demonstrate the safety of ADAS features
• Provide feedback and improve the internal development processes