Software Engineer, Behavior

About the role

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 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024.

Responsibility

• Collaborated with cross-functional teams to design safe, smooth, and socially aware autonomous vehicle behaviors for complex passenger interactions like pick-up, drop-off, intent understanding under high sensory noise and uncertainty.
• Transformed open-ended real-world traffic scenarios into defined engineering frameworks; developed end-to-end solutions spanning algorithm design, evaluation tools, massive-scale data pipelines, and real-time on-vehicle deployment.

Requirements & Qualifications

• BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
• General software engineering experience, proficient in at least one mainstream programming language (such as C, C++, Python, or Java) and familiar with common data structures and algorithms.

Preferred

• MS in Computer Science, ML Robotics, similar technical field of study
• General software engineering experience solving motion planning or related robotics problems
• Building or evaluating ML-based systems

Base Salary Range

$120,000 - $200,000 Annually

Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.

Benefits

Also, we provide the following benefits to the eligible employees:

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (Traditional and Roth 401k)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Free Food & Snacks

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