Software Engineer - Perception Infrastructure

Software Engineer - Perception Infrastructure

4 weeks ago Be among the first 25 applicants

This range is provided by Pony.ai. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

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.

As a Software Engineer in Perception Infrastructure, you will be responsible for developing the foundation for the Perception System used on the self-driving vehicle. You will work with the world-class Perception developers and researchers together to improve the overall performance and quality of Perception.

• Strong programming skills in C++, with a solid foundation in data structures and algorithms
• BS/MS or Ph.D in Computer Science or a related field
• Open to master new grads/fresh PhD

• Multi-thread programming
• CPU or GPU performance optimization
• Large-scale system design
• Strong skills in algorithm design and implementation, familiarity with training frameworks such as PyTorch/Caffe/Tensor Flow is a plus
• Understanding of computer vision, machine learning, deep learning, or related knowledge, with practical or research experience in areas such as object detection, segmentation, tracking, or 3D reconstruction is a plus
• Experience in the autonomous driving domain is preferred
• Knowledge of robotics system (ROS, PCL) is preferred

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

• Entry level

• Full-time

• IT Services and IT Consulting

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