Senior Software Engineer

What You'll Do8

• Create reproducible RL environments that evaluate an AI model's ability to handle complex software engineering workflows.
• Write golden reference solutions for each environment to serve as the correct outcome.
• Design scenarios that mirror common DevOps, CI/CD, and debugging tasks using CLI tools like git, docker, gdb, asan, and ffmpeg.
• Debug and refine environments so they run consistently and produce reliable results.
• Implement features and refactor codebases as needed to support environment creation.
• Tune performance and scalability of the environments you build.
• Collaborate with cross-functional teams, often remotely, to align on task specifications.
• Meet minimum weekly submission requirements for completed tasks.

Requirements7

• Proficiency in at least one of C++, Python, Java, GoLang, TypeScript, or Rust.
• Deep understanding of algorithms, data structures, and performance tuning.
• Demonstrated experience debugging complex software issues and delivering maintainable solutions.
• Strong background in feature development and codebase refactoring.
• Proven ability to optimize software for performance and scalability.
• Exceptional written and verbal communication skills with keen attention to detail.
• Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Preferred Qualifications3

• Previous experience working on large-scale, distributed codebases.
• Familiarity with modern AI or machine learning systems is a plus, though not required.
• Background in participating in rigorous code reviews and contributing to software best practices.

Who Should Apply

Engineers with strong debugging, refactoring, and performance-tuning skills in C++, Python, Java, GoLang, TypeScript, or Rust. You should be comfortable building reproducible workflows with CLI tools and writing clear reference solutions. No AI background is required.

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