Software Engineer II

Company Name : DiDi Research America, LLC

Job Location : San Jose, CA 95134

Job title : Software Engineer II

Salary : $190,548 - $214,776

Education and Experience : Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering or related plus 2 years of experience in Autonomous driving, robotics, or artificial intelligence or related. Alternatively, a PhD in  Computer Science, Electrical Engineering, Mechanical Engineering or related.

SOC Code : 15-1252

SOC Occupation Title : Software Developers

Duration :   Regular Hire

Work week :   Full-time

Supervision Experience Required : No

Requires skills and experience to involve : Strong technical background in motion planning, optimization, and control theory for autonomous vehicles. Deep knowledge of A

• and RRT motion planning algorithms. Deep knowledge of optimization-based motion planning methods for autonomous vehicles. Fluency in C++ programming language. Deep knowledge of geometry, probability, and statistics and their application in motion planning algorithm design.

Job duties :  The Software Engineer II position will research and develop the-state-of-art motion planning algorithms for autonomous driving vehicles. Analyze issues reported from road test and simulation, design and implement algorithms, evaluate the algorithms on simulation and road tests. Participate in group design discussions. Develop and implement motion planning algorithms for autonomous vehicles to ensure safe, smooth, and efficient navigation in dynamic environments. Design and optimize decision-making strategies for autonomous vehicles, considering traffic interactions, safety constraints, and real-time environmental changes. Integrate planning modules with perception, prediction, and control systems to enable robust and real-time autonomous driving capabilities. Conduct simulation and perform real-world testing to evaluate planning algorithms, improve performance, and address edge cases in complex driving scenarios. Develop and maintain high-performance software in C++ for real-time autonomous driving applications. Document research findings, design decisions, and technical implementations to support internal development and external regulatory requirements.

Please apply online at boards.greenhouse.io / didi

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