Software Engineer Intern - Generalist

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 Design and implement algorithms and evaluation metrics to drive core AI decision-making. Build scalable data pipelines and toolchains for large-scale data ingestion, batch processing, and evaluation. Design system-level evaluation metrics, testing frameworks, and simulation environments across business components. Requirements Strong programming skills in C/C++, Python, and software design Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes, and complexity analysis. Possessing solid engineering discipline, or demonstrating strong interest and potential in building large-scale systems, with the ability to maximize performance while keeping complexity and cost to a minimum. Pursueing a BS/MS or Ph.D in Computer Science or a related field Experience in large data set processing and familiarity with real time systems Solid experience in a fast-paced and structured engineering environment Full stack experience including both front end and back end is preferred Statistics analysis experience is preferred Note The position is rolling-based and can start anytime. This position is fully onsite in Fremont, at least 3 months. Compensation Master: $7000/month PhD: $10,000/month Please click here ( for our privacy disclosure.