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Key skills for this role
Build Data Infrastructure: Design and maintain the pipelines that collect, store, organize, and version robot data from teleop, sensors, and deployments.
Support AI Training: Help turn raw robot data into clean, usable datasets for model training and evaluation.
Strengthen Core Robotics Software: Contribute to the software infrastructure that underpins robot behavior, debugging, testing, and deployment.
Ship Efficient Code: Write high-performance C, C++, or Rust code for systems where latency, reliability, and efficiency matter.
Work Across the Stack: Collaborate with robotics, ML, and hardware engineers to make the full development loop faster and more reliable.
Improve Simulation Workflows: Help connect simulation environments to real robot workflows for testing, iteration, and validation.
Experience with ROS or ROS2.
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Familiarity with data pipelines, storage systems, or experiment tracking.
Experience with real-time systems, networking, or distributed systems.
Exposure to ML training workflows, dataset management, or robot learning.
Open source contributions or a portfolio of systems-level work.
Ownership: We offer a substantial equity package designed for those who believe in our mission and want to be rewarded for the company's long-term success.
Impact: Work directly on real-world projects and see your code deployed in the real world immediately. We are already shipping robots in production.
Culture: A collaborative, high-velocity supportive environment conducive to both personal and professional growth.
Developing hardware-agnostic physical AI software for industrial robotics.
Visit company websiteJobs and hiring trendsFull-time
Mid · 3+ years experience
Hybrid
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