Responsibilities:
- Analyze the CPU usage of existing software applications to identify performance bottlenecks.
- Design and implement algorithm optimization strategies, including but not limited to loop optimization, branch prediction improvement, and instruction-level parallelism enhancement.
- Utilize multi-threading and parallel processing techniques to increase the computational efficiency of applications.
- Collaborate with software development teams to integrate performance optimization into the software development lifecycle.
- Write technical documentation, including optimization reports, performance analysis, and best practices.
- Keep abreast of the latest developments in CPU architecture and performance optimization techniques, analyzing and optimizing the theoretical and practical performance of algorithmic models.
Requirements:
- Master's or Doctoral's degree in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field.
- At least 5 years of software development experience with actual cases of CPU performance optimization.
- Proficiency in the C++ programming language.
- Familiarity with the workings of computers and CPU principles.
Plus
- Prior experience in compiler optimization is preferred.
- In-depth understanding of parallel computing and multi-threaded programming.
- Awarded in the International Collegiate Programming Contest (ACM ICPC)
- Research background resides in algorithms.
- Familiar with OpenCV implementation details.
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