Didi autonomous driving is innovating the way we build our self-driving cars.  We leverage our ride-sharing network to collect large amounts of data, and improve our algorithms with the data. In this role, you will design, train and deploy cutting-edge ML models to solve safety critical issues on the road . This is a multidisciplinary role that will get you exposed to system engineering, perception, prediction, motion planning and controls, and embedded computing. It covers different algorithms across the self-driving car stack. If you are interested in solving exciting and challenging problems, and are enthusiastic about autonomous driving, please join us!

Responsibilities:

• Together with your team, you will develop safety critical solutions to the perception, localization, and planning problems.
• Work on runtime optimization and architecting highly performant AV software.
• Collaborating with various specialists to get algorithms and ML models deployed and integrated into the AV stack, with an eye on optimization and simplification of these procedures
• Working with hardware and vehicle teams to guide compute requirements, sensor selection, and sensor suite architecture in support of the intelligent safety stack, both for current and future vehicle generations.
• Champion of the best engineering practices, crafting solutions and not just identifying problems

Qualifications:

• BS, MS or higher degree in related field
• Proficiency with modern C++ for safety-critical applications in a production environment
• Strong understanding of runtime optimization and software development for runtime critical systems
• Expertise in setting architectures that are scalable, efficient, fault tolerant, and are easily extensible allowing for changes overtime without major disruptions

Preferred Qualifications:

• Experience with developing custom ops for performant ML inference models
• Experience in embedded software development
• Experience with CUDA, OpenGL programming.
• Experience with sensor signal processing (radar, LiDAR, IMU, etc) or avionics
• Experience with writing functional requirements driven code and familiar with formal verification & validation techniques
• Understanding of vehicle dynamics
• Experience with ISO26262, ASIL, DO-178B/C, etc.

The expected salary range is $148,594 to $296,400+ bonus + equity + benefits. Actual starting pay will be based on job-related factors, including exact work location, experience, training, and skill level, so may be higher or lower than what is shown on this posting. This job may be also eligible for additional discretionary bonuses and equities.

About the Company:

Didi Chuxing (“DiDi”) is the world’s leading mobile transportation platform. We’re committed to working with communities and partners to solve the world’s transportation, environmental, and employment challenges by using big data-driven deep-learning algorithms that optimize resource allocation.

Didi Chuxing’s Autonomous-Driving team was established in 2016, and has grown to a comprehensive research and development organization covering HD mapping, perception, behavior prediction, planning and control, infrastructure and simulation, labeling, hardware, mechanical, problem diagnosis, vehicle modifications, connected car, and security, among others. We’re developing and testing self-driving vehicles in China and the United States.

In August 2019, DiDi upgraded its autonomous driving unit to an independent company to focus on R&D, product application, and business development related to self-driving technologies. The new company will integrate the resources and technology of DiDi’s platform, continue to increase investment in R&D, and deepen collaboration with auto industry partners.

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