CPU Optimization Architect, California

About the Team

The technology middle platform team is dedicated to exploring fundamental technologies and products related to emerging and innovative technology fields.

Job Responsibilities:

- Design and implement optimization solutions for specific scenarios to improve CPU execution efficiency.

- Analyze and evaluate the performance of existing CPU scheduling algorithms, find optimization directions, set optimization goals, and develop optimization plans.

- Conduct in-depth research on CPU scheduling principles to find scheduling algorithms more suitable for interactive tasks and mobile devices.

- Develop measurement methods for CPU scheduling and execution efficiency, and collaborate with the testing team to implement a degradation prevention monitoring solution.

- Participate in system performance testing and tuning to ensure the optimization effects meet expectations.

- Track and research the latest industry developments in scheduling and CPU technologies, and develop and implement appropriate technical solutions.

Requirements

- Bachelor’s degree or higher in Computer Science or a related field.

- Understanding of modern CPU architecture and implementation (such as cache systems, branch prediction, etc.), with the ability to optimize code at the CPU level.

- Familiarity with operating system principles and a deep understanding of the kernel scheduler’s working mechanism.

- Knowledge of one or more kernel CPU schedulers (such as CFS, BFS, FIFO, etc.) implementation, and the principles and implementation of governors.

- Understanding of different scheduling algorithms' applicable scenarios and potential problems, with experience in optimizing shortcomings of CFS, FIFO, etc.

- Good analytical and problem-solving skills, capable of quickly locating and resolving performance issues.

- Excellent communication, and team coordination skills.