Algorithm Deployment Engineer/Embedded Development Engineer.
Planning Software Specialist
1. Participate in the deployment of autonomous driving-related system software and the development of tool chains
2. Design and implementation of autonomous driving version management process
3. Development and maintenance of autonomous driving development tools (system startup tools, repo tools, memory checking, code quality checking tools, etc.)
1. Responsible for the algorithm design and development of the decision-making part of the autonomous driving scene
2. Responsible for the development of local path planning algorithms in autonomous driving scenarios
3. Work closely with the control module and conduct joint debugging to ensure the final vehicle performance
4. Conduct systematic joint debugging with other modules to analyze, locate, solve problems and improve performance
1. Responsible for the deployment, optimization and debugging of AI deep learning models for Qualcomm 7325/8155/8295 and other related series chips
2. Responsible for analyzing the hardware and software architecture, assisting in the realization of efficient model deployment solutions
3. Responsible for the prediction performance analysis and optimization of the deep learning model board
1. Bachelor degree or above, major in computer science or related
2. Proficiency in C/C++ programming language, experience in developing Qualcomm series chips is preferred
3. Familiar with deep learning model architecture and optimization technology, familiar with deep learning frameworks such as torch and tensorflow, and have an in-depth understanding of hardware platforms
4. Have good communication and collaboration skills, be able to learn quickly and master relevant technologies proficiently
5. Experience in hardware acceleration model deployment and distributed system development is preferred.
1. Bachelor degree or above, major in computer, vehicle, automation, robot, etc.
2. Have the knowledge of unit testing, module testing, integration testing, and code refactoring knowledge;
3. Experience in linux development, familiar with common tool operations and script writing under linux, and proficient in the use of code version management tool git
4. Ability to test and develop automated scripts
1. Bachelor degree or above, major in computer, vehicle, automation, robot, etc.
2. Good coding ability, familiar with commonly used data structures and algorithms, have development experience in Linux, ROS, QNX, etc., master at least one common programming language such as C/C++, python, etc.
3. Master common planning algorithms, such as: EM Plnaner, Lattice Planner, understand A*, D*, RRT and other path search algorithms
4. Experience in vehicle motion and dynamics modeling, mathematical modeling and optimization algorithms, and high-precision map development is preferred
5. Strong learning ability, communication and coordination ability, good teamwork spirit
