Didi Labs
Staff/Sr. Staff Software Engineer – Planning/Path Core
Didi Labs, San Jose, California, United States, 95199
Overview
Staff or Senior Staff Software Engineer – Planning/Path Core | San Jose, CA About the Company
DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet. About the Role
We are seeking a
Staff or Senior Staff Software Engineer
to lead the
core path planning
for our autonomous vehicles. You will architect high-performance systems for trajectory generation and optimization that form the foundation of our planning stack, while integrating ML models to further boost vehicle performance and behavior. Responsibilities
Architect the core path planning system for real-time trajectory generation and optimization, including geometric search, optimization, open space search, etc. Lead performance optimization of motion planning algorithms and system architecture, leveraging CPU/GPU to boost computation efficiency. Drive the development of safety-critical, low-latency C++ modules. Provide technical leadership on software architecture and performance engineering. Manage the team by designing OKRs, setting milestones and performance reviews for the team members. Qualifications
M.S. or Ph.D. in CS, Robotics, or related field. 5+ years of experience in autonomous systems or robotics. Expert proficiency in C++ for safety-critical, real-time systems. Deep expertise in motion planning algorithms and system architecture. Proven track record as a technical lead shipping complex systems. Preferred Qualifications
Experience leading a planning or controls team in autonomous driving. Expertise in trajectory optimization and search-based planning. Background in system performance optimization for real-time system's efficiency. I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on
https://v.didi.cn/AQnxlBa
#J-18808-Ljbffr
Staff or Senior Staff Software Engineer – Planning/Path Core | San Jose, CA About the Company
DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet. About the Role
We are seeking a
Staff or Senior Staff Software Engineer
to lead the
core path planning
for our autonomous vehicles. You will architect high-performance systems for trajectory generation and optimization that form the foundation of our planning stack, while integrating ML models to further boost vehicle performance and behavior. Responsibilities
Architect the core path planning system for real-time trajectory generation and optimization, including geometric search, optimization, open space search, etc. Lead performance optimization of motion planning algorithms and system architecture, leveraging CPU/GPU to boost computation efficiency. Drive the development of safety-critical, low-latency C++ modules. Provide technical leadership on software architecture and performance engineering. Manage the team by designing OKRs, setting milestones and performance reviews for the team members. Qualifications
M.S. or Ph.D. in CS, Robotics, or related field. 5+ years of experience in autonomous systems or robotics. Expert proficiency in C++ for safety-critical, real-time systems. Deep expertise in motion planning algorithms and system architecture. Proven track record as a technical lead shipping complex systems. Preferred Qualifications
Experience leading a planning or controls team in autonomous driving. Expertise in trajectory optimization and search-based planning. Background in system performance optimization for real-time system's efficiency. I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on
https://v.didi.cn/AQnxlBa
#J-18808-Ljbffr