CPU Optimization Architect
Hireio, Inc.
San Jose, california
Job Details
Full-time
Full Job Description
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.