Robotics Software Engineer - Intelligent Safety

Key Skills

Python Programming, SQL, Cloud computing

Job Description

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.