Open-Source Software Engineer — AI & Distributed Systems
Summary
Contribute production-quality code to open-source repositories, designing and optimizing complex algorithms and system components. Requires experience with languages like C++ or Python, preferably with knowledge of distributed systems and AI.
Responsibilities
- Contribute production-quality code, reviews, and documentation to open-source repositories.
- Design, implement, and optimize complex algorithms and system components.
- Identify and resolve technical challenges, bugs, and performance bottlenecks.
- Collaborate with other contributors and stakeholders to align deliverables with project goals.
- Create, maintain, and enhance technical documentation for knowledge sharing.
- Participate in code discussions and provide constructive feedback.
Requirements
- Have strong relevant experience in contributing to open-source projects.
- Applicants must have clear open source contributions and profiles like GitHub or GitLab.
- Experience with C++, Python, JAVA, GoLang, Typescript, or Rust is required.
- Previous experience working on large-scale, distributed codebases is preferred.
- Familiarity with modern AI or machine learning systems is a plus.
Application Process
- Easy Apply on LinkedIn
- Participate in resume evaluation & interview stage