Software Engineer, Infrastructure (Onboard System & Toolchain) at pony.ai

Fremont, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Dec, 25

Salary

250000.0

Posted On

16 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C/C++, Python, Unix/Linux, Git, Containerization, Orchestration, Bazel, Data Visualization, Backend Development, API Design, Distributed Data Pipelines, System Integration, Troubleshooting, Problem-Solving, Communication, Time Management

Industry

Software Development

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 We are seeking a talented Software Engineer to join our Onboard Infrastructure team. In this role, you will collaborate with world-class engineers to design, build, and maintain the core systems and toolchain that empower the development of fully autonomous driving technologies. You will be responsible for both the in-vehicle systems and offline infrastructures that power our end-to-end development cycle—including replay, simulation, and system diagnostics. You will build robust infrastructure to enable efficient performance evaluation, large-scale data processing, and fast iteration for mission-critical systems. Design, build, and maintain scalable and efficient pipelines to support development and deployment of autonomous driving software on vehicle platforms and in offline environments. Optimize build and test performance by analyzing bottlenecks, caching strategies, and test topology. Develop and maintain scalable simulation and replay platforms to evaluate vehicle software behavior Design and implement interactive dashboards and data visualization tools to surface insights across vehicle and simulation data. Collaborate with various engineering teams to ensure the infrastructure supports cross-functional needs, including real-time systems, simulation, and machine learning modules. Bachelor's degree or above, computer science or related major. 3+ years of professional experience in software engineering. Bachelor's degree or above, computer science or related major. Solid experience developing production-quality software in C/C++, Python Strong understanding of Unix/Linux based operating systems. Proficiency in Git and experience with Git-based development workflows. Exceptional troubleshooting, problem-solving, and communication skills. Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment. Preferred Experience: Proficient in containerization and orchestration, with hands-on experience in container runtimes (e.g., Docker, containerd) and orchestration platforms (e.g., Kubernetes). Proficiency with Bazel or similar large-scale build systems and dependency management tools. Hands-on experience developing with or integrating distributed database systems in diverse environments. Experienced in creating dashboards and reports to communicate analytical insights using data visualization tools (e.g., Metabase). Skilled in backend development with Python, covering API design (REST/GraphQL), distributed data pipelines, and system integration, using modern frameworks and cloud-native practices. Compensation and Benefits Base Salary Range: $130,000 - $250,000 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 Please click here for our privacy disclosure.

Responsibilities

Design, build, and maintain scalable and efficient pipelines to support development and deployment of autonomous driving software. Collaborate with various engineering teams to ensure the infrastructure supports cross-functional needs.