Senior Software Engineer building NVIDIA’s open - source NeMo AI platform for scalable agent execution. Designing distributed APIs, plugins, orchestration, and reliability systems across production environments.
About the role
- Expert in AI systems training and reinforcement learning environments for next-gen AI at Micro1. Collaborating on complex software engineering tasks using advanced tools and programming.
Responsibilities
- Apply your expertise to help train next-generation AI systems.
- Shape how models learn, reason, and perform through high-quality, real-world input.
- Create Reinforcement Learning Environments testing an AI model's ability to solve complex software engineering problems using Model Context Protocol (MCP) tools.
- May involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers.
- Design reproducible environments, deterministic verification, and golden reference solutions measuring both MCP tool use and software engineering ability.
Requirements
- Proficiency inC++, Python, JAVA, GoLang, Typescript, or Rust.
- Deep understanding of algorithms, data structures, and performance tuning.
- Demonstrated experience in 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 a keen attention to detail.
- Track record of success in collaborative, cross-functional teams, ideally in remote settings.
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