- Create Reinforcement Learning Environments to test AI model capabilities in solving complex software engineering problems.
- Fix bugs, implement features, refactor code, and optimize performance using Model Context Protocol tools.
- Design reproducible environments and deterministic verification for accurate measurement of MCP tool use.
- Develop golden reference solutions to assess software engineering ability.
Requirements
- Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
- Deep understanding of algorithms, data structures, and performance tuning.
- Experience in debugging complex software issues and delivering maintainable solutions.
- Robust background in feature development and codebase refactoring.
- Proven ability to optimize software for performance and scalability.