Software Engineer II

Company Name : DiDi Research America, LLC

Job Location : Mountain View, CA 94043

Job Title : Software Engineer II

Salary Range : $132,960 - $221,046

Education : Master's degree in Computer Science, Robotics or related and 1 year of experience in Software Engineering, Motion Planning, Path Planning, Robotics or related; or Bachelor's degree in Computer Science, Robotics or related and 3 years of experience in Software Engineering, Motion Planning, Path Planning, Robotics or related.

SOC Code : 17-2199.08

SOC Occupation Title : Robotics Engineers

Duration : Regular Hire

Work Week : Full-time

Supervision Experience Required : No

Experience : Requires skills and experience to involve:

1. Deep understanding of direct robotic path planning;
2. Research experience in robotic planning problems;
3. Experience developing behavior and motion planning algorithms for autonomous vehicles;
4. Extensive experience with programming and algorithm design including code review and continuous integration and continuous delivery (CI/CD);
5. Experience writing performance-critical production code in C++;
6. Demonstrated ability to create real-time motion planning algorithms;
7. 1 year of hands-on experience and understanding of a variety of motion planning techniques, including A* or D*;
8. Proficiency in C++ software engineering language;
9. Strong mathematical and geometrical skills.

Job Duties : The Software Engineer II position will:

1. Design robotic systems, including automatic vehicle control and autonomous vehicles;
2. Research & develop behavior/motion planning algorithms and software for fallback systems of autonomous driving vehicles;
3. Develop safety-critical solutions to the perception, localization, and planning problems of autonomous vehicles;
4. Work on runtime optimization and architecting highly performant AV software through the use of sensor signal processing (radar, LiDAR, IMU, etc) or avionic;
5. Process or interpret signals or sensor data;
6. Collaborate 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;
7. Work with hardware and vehicle teams to guide computer requirements, sensor selection, and sensor suite architecture in support of the intelligent safety stack, both for current and future vehicle generations;
8. Create solutions to engineering problems by researching into the feasibility, design, operation, or performance of robotic mechanisms, components, or systems;
9. Conduct research on robotic technology to create new robotic systems or system capabilities.

Please apply online at boards.greenhouse.io/didi .

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