Software Engineer, Pony.ai
Onboard Infrastructure
$120-200k
Office located in Fremont, CA
Self-driving technology
Open for applications
Self-driving technology
501-1000 employees
Open for applications
$120-200k
Office located in Fremont, CA
501-1000 employees
Company mission
Pony.ai's mission is to accelerate the transition to widespread autonomous mobility everywhere.
Role
Who you are
- Bachelor's degree or above, computer science or related major
- Have at least one common programming language experience, such as C++, Java, Python
- Deep understanding of operating systems and computer architecture
- Have high-performance software system, scientific simulation engine or game engine development experience
- Excellent analysis and problem-solving skills
What the job involves
- We are seeking a Software Engineer - Onboard Infrastructure to join our team. You will collaborate with distinguished engineers to solve one of the most challenging problems in artificial intelligence: a fully autonomous driving platform
- You will participate in various software development cycles to discover the real problems in autonomous driving, design robust and scalable solutions, and implement your ideas into production
- You will be building the infrastructure of the vehicle “brain”, as well as forging our offline infrastructures to facilitate our end-to-end development cycle
- Develop a high-performance, high-stability, and easily expandable vehicle operating system, supporting different types of vehicle modules
- Develop a simulation and replay system for in-vehicle systems
- Develop and use performance analysis and monitoring tools to analyze and optimize system computing resource allocation and overall performance
- Improve the development tools and debugging tools
Our take
Pony.ai is a driverless vehicle manufacturer and developer based in the US and China. Its bespoke AI driving system is adept at functioning in complex road scenarios using deep learning models and over 1.5 million autonomous miles of testing. Pony.ai has formed partnerships with leading equipment manufacturers, including Toyota, FAW Group and GAC Group.
The two founders are ex-Baidu employees with significant experience in the autonomous driving space. With more than 90% of traffic accidents in the US caused by human error, Pony.ai is looking to improve road safety with intelligent tech. The company is initially focused on taxis and long-distance freight trucks before it rolls the technology out to other vehicle types.
In 2022, Pony.ai became the first and only autonomous driving company to obtain a taxi license in China. It was awarded a permit to operate 100 autonomous vehicles as traditional taxis in Nansha, Guangzhou, highlighting its success so far. While the fleet currently retains safety drivers, the company expects to remove the driver over the short to intermediate time frame.
Although several other autonomous vehicle companies are operating, such as WeRide, Deeproute and AutoX, Pony.ai is well-positioned in terms of financial muscle and its successful multi-location testing. The company plans to significantly expand its hiring, open up a number of new autonomous vehicle global testing and operation sites, progress its strategic partnerships, and rapidly grow its fleet.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-13% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2024
$27m
LATE VC
Oct 2023
$100m
SERIES D
Total funding: $739m
Company benefits
- 401k plan
- Work from home opportunities
- Medical, dental, and vision insurance
- Generous PTO and paid holidays
- Daily meals and bi-weekly happy hours
- Equity opportunity
Company values
- Safety First
- Tech Obsessed
- Team Spirit
- Self-starter
Company HQ
Baylands, Fremont, CA
Articles
Leadership
James Peng
(CEO)After a PhD at Stanford, James worked for 7 years as a Google Software Engineer. He spent a further 4 years at Baidu USA as Chief Architect of Autonomous Driving before leaving to co-found Pony.ai in December 2016.
Tiancheng Lou
(CTO)Began his career at GoogleX, then he became the youngest T10 engineer at Baidu’s Autonomous Driving Division. Holds a Ph.D. and a B.S. from Tsinghua University.
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