Software Engineer, Decision Making & Path Planning

Pony.ai; Fremont (CA); On-site; USD 120,000 - 200,000; Full time

Benefits offered by this job

Health Care Plan

401k Plan

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Free Food

Job summary

Pony.ai, founded in Silicon Valley, is advancing autonomous mobility with Robotaxi, Robotruck, and POV initiatives. The role focuses on architecture and algorithms for high-performance L4 planning, ensuring safety and reliability across end-to-end outputs.

Candidates should have a BS in a related field and strong programming skills, with emphasis on problem solving, modeling, and cross-functional collaboration in a fast-growing environment.

Qualifications

• BS in Computer Science, ML, Robotics, or equivalent practical experience.
• Proficient in at least one mainstream programming language (C, C++, Python, or Java) and familiar with data structures and algorithms.
• Excellent communication and collaboration skills.
• Excellent problem transformation and modeling capabilities, with creative thinking to solve challenging problems.

Responsibilities

• Architecture design, algorithm, and system development for high-performance L4 Autonomous Driving Planning algorithms.
• Optimize safety fallbacks for end-to-end model outputs and ensure HD-map-independent autonomy.
• Design and develop a redundant system that satisfies L4 requirements with lower compute power and limited sensors.
• Architecture design and development for road-test big data analysis and processing.
• Develop simulation platforms using massive road-test data to align with real-world tests.

Skills

Programming languages

Problem solving

Communication

Collaboration

Motion planning experience

Education

BS in Computer Science/ML/ Robotics

MS in Computer Science/ ML/ Robotics

Job description

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

• Architecture design, algorithm, and system development for high-performance and highly reliable L4 Autonomous Driving Planning algorithms
• Optimizing and providing safety fallbacks for end-to-end model outputs. Through post-processing, ensure vehicle behavior is safe and controllable, realizing an HD-map-independent autonomous driving system that satisfies L4 capabilities and requirements
• Designing and developing a redundant system that satisfies L4 capabilities and requirements using lower compute power, select sensors, and end-to-end technology
• Architecture design and system development for road-test big data analysis and processing
• Simulation platform development, using massive road-test data to make the simulation platform better align with real-world road test scenarios

Requirements

• 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

Preferred

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

  Compensation And Benefits

  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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