
Software Engineer, Decision Making & Path Planning
Required skills
- L4 Autonomous Driving
- Planning algorithms
- post-processing
- vehicle behavior
- safe and controllable
- HD-map-independent
- redundant system
- lower compute power
- select sensors
- road-test big data analysis
Nice to have
- MS in Computer Science
- ML Robotics
- motion planning
- robotics problems
Role summary
Pony.ai, a leader in autonomous mobility, seeks a Software Engineer for its Decision Making & Path Planning team. This core team is responsible for how autonomous vehicles navigate in real-time traffic. Responsibilities include designing and developing L4 autonomous driving planning algorithms, optimizing models for safety and controllability, creating redundant systems with lower compute power, and developing simulation platforms aligned with real-world scenarios. The role requires proficiency in at least one mainstream programming language (C, C++, Python, or Java), strong data structures and algorithms knowledge, and excellent problem-solving skills.
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.
ResponsibilityThe team is responsible for determining how autonomous vehicles navigate based on real-time traffic conditions, including roads, surrounding environments, other vehicles, and pedestrians. It is one of the most core teams in autonomous driving. You will be responsible for one or more of the following tasks:
- 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.
- Excellent communication and collaboration skills.
- Excellent problem transformation and modeling capabilities, with creative thinking to solve challenging problems that haven't been resolved industry-wide.
- MS in Computer Science, ML Robotics, similar technical field of study
- General software engineering experience solving motion planning or related robotics problems
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.
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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