We're working on an open source autonomy stack to democratize autonomous intelligent robotics. The goal is to make it significantly easier for anyone in the world to develop, debug, test, and deploy intelligence onto a real robot, especially mobile field robotics. We're making this stack AI and agent native to 10x productivity and lower the barrier to entry for new users.
- Strong programming
- Strong communication, collaboration, organization, and planning
- Proactive and fast self-learner
- Strong software engineering principles (DRY, KISS, YAGNI, SOLID)
- Strong software testing principles
- Familiarity with software: ROS2, Python, C++, Linux, Bash, Git, Isaac Sim, PX4
- Familiarity with hardware: https://www.modalai.com/collections/drones
- Strong agentic coding and steering skills, i.e. knowledge how to make and track effective prompts, maintain AGENTS.md, create agent skills, model context protocol (MCP), make use of parallel agents, setup verification, etc. to be able to identify when the agent is WRONG and steer it in the right direction.
- Learn and strengthen the skills above
- Understand the full pipeline required to develop an intelligent robot from start to finish
- Contribute towards AirStack paper publication
- Support autonomy for all lab projects using AirStack
Not a hard limit. We care more about talent and potential.