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$140k–$220k/yr
Full-time
bachelor degree
Health care plan, Retirement plan, Life insurance, Paid time off, Family leave, Short term disability
Posted 10d ago
~40 hrs/week
Responsibilities
The team is responsible for designing and controlling autonomous vehicle navigation based on real-time traffic conditions and environmental data. Engineers will develop high-performance planning architectures, computational algorithms, and machine learning models to enhance driving intelligence.
Requirements
Candidates must hold a bachelor's degree in Computer Science, Machine Learning, Robotics, or a related field. A minimum of 2 years of hands-on software engineering experience with proficiency in C, C++, Python, or Java is required.
Full 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
The team is responsible for determining and controlling how autonomous vehicles navigate based on real-time traffic conditions—including road infrastructure, surrounding environments, other vehicles, and pedestrians—making it one of the core teams in autonomous driving.
Software or Algorithm Engineers on the team are responsible for one or more of the following:
Architecture & Systems: Designing and developing high-performance, highly reliable Planning architectures and systems.
Computational Algorithms: Developing and optimizing high-precision, high-performance computational geometry and numerical computing algorithms.
Driving Intelligence: Enhancing autonomous vehicle decision-making and driving capabilities using machine learning and advanced algorithms.
Big Data Infrastructure: Designing and building scalable data processing infrastructure and systems for large-scale road-test data.
Simulation & Evaluation: Analyze large amounts of data of the real world and simulate driving, understanding, characterizing and clustering the performance of virtual drivers.
Internal Tools & Productivity: Developing internal tools to optimize engineering workflows and improve R&D efficiency.
Cross Team Collaboration: Work cross-functionally on safety, road rules compliance, and ride quality
BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
2+ years hands-on 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.
Ability to lead ambiguous technical work from problem framing through reliable delivery.
Preferred
Background in autonomous vehicles, robotics, or complex simulation environments.
General software engineering experience solving motion planning or related robotics problems
Compensation and Benefits
Base Salary Range: $140,000 - $220,000 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.
Related keywords
Autonomous mobilityRobotaxiRobotruckAutonomous drivingPlanning architecturesComputational geometryNumerical computingMachine learningBig data infrastructureSimulationCC++PythonJavaData structuresAlgorithms
A global leader in the large-scale commercialization of autonomous mobility.
Industry
Software Development
Company size
1,001-5,000 employees
Founded
2016
Headquarters
Fremont, California
LinkedIn followers
63,521
Total funding
$1.3B
Pony AI Inc. (“Pony.ai”) is a global leader in the large-scale commercialization of autonomous mobility.
Leveraging its vehicle-agnostic Virtual Driver technology, full-stack autonomous driving technology that seamlessly integrates its proprietary software, hardware, and services, Pony.ai is developing a commercially viable and sustainable business model that enables the mass production and deployment of vehicles across transportation use cases.
Founded in 2016, Pony.ai has expanded its presence across China, Europe, East Asia, the Middle East, and other regions, ensuring widespread accessibility to its advanced technology.
Pony.ai is among the first in China to obtain licenses to operate fully driverless vehicles in all four Tier-1 cities in China (Beijing, Guangzhou, Shanghai, Shenzhen) and has begun to offer public-facing, fare-charging robotaxi services without safety drivers in Beijing, Guangzhou and Shenzhen. Pony.ai operates a fleet consisting of over 250 robotaxis.
To date, Pony.ai has driven nearly 45 million autonomous testing and operation kilometers on open roads worldwide.
Offices: 3501 Gateway Blvd, Fremont, California 94538, US · 海淀区中关村壹号A1座, 北京, CN · 嘉定区塔山路585号, 上海, CN · 南沙区城投明珠开发大厦1号楼, 广州, CN
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