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Foundry Robotics

AI-driven assembly robotics for industrial manufacturing

Robotics Research Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeEmeryville, CA, USA

About the Job

Requirements

  • Experience shipping systems into real environments rather than only lab demonstrations.
  • Comfort debugging hardware–software integration issues.
  • Ability to own systems end-to-end.
  • Ability to take technical ownership of complex systems and work across mechanical, electrical, and software challenges.

Responsibilities

  • Design and implement distributed robotic systems using ROS2.
  • Build modular autonomy stacks for manipulation and mobile platforms.
  • Own system-level performance, latency, and reliability.
  • Develop and integrate Vision–Language–Action models for robotic control.
  • Design data collection pipelines and fine-tune foundation models for assembly tasks.
  • Benchmark and evaluate real-world performance.
  • Fuse traditional control with learned policies.
  • Implement hybrid perception–planning–control architectures.
  • Improve robustness, repeatability, and safety in physical systems.
  • Develop algorithms for dexterous manipulation and industrial navigation.
  • Ship systems from prototype to production.
  • Debug real-world edge cases, including lighting, calibration drift, wear, and latency, and maintain deployed robotic cells.

Desired Qualifications

  • PhD in Robotics or a related field.
  • Experience working on dual-use or Department of Defense-related systems.
  • Ability to obtain a government security clearance.
  • Experience with safety-critical robotic systems.

About the Company

Foundry Robotics

AI-driven assembly robotics for industrial manufacturing

Foundry Robotics builds AI-driven robotics and software for industrial manufacturing, focusing on automating electromechanical assembly in high-throughput, high-mix environments. Its system combines robots, machine learning models, and a software-defined factory to enable data-driven assembly tasks that continuously improve through feedback loops. The company targets manufacturing workflows that are labor-intensive and hard to standardize, including defense-related production, aiming for observable, adaptable automation. The goal is to increase efficiency, adaptability, and scalability by turning production into programmable systems that respond to changing demand and constraints.

Company size
11-50
Company stage
Series A
Total funding
$113.5M
Headquarters
San Francisco, CA
Founded
2025

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