As a
Robotics QA and Deployment Intern at
Origin (Formerly 10xConstruction) you'll play a key role in testing and refining AI-powered robotic systems designed to transform the construction industry. This hands-on role involves cross-functional collaboration across mechanical design, embedded systems, ROS-based control, and computer vision.
You'll contribute to real-world experiments, data analysis, and quality assurance, gaining end-to-end robotics experience in a fast-paced startup environment.
Key Responsibilities :
- Own the bug reporting pipeline - Identify and report bugs from simulation/real world tests, co-ordinate with engineering teams to perform a/b testing for fixing on field issues.
- Set up and maintain test environmentsboth physical and simulated
- Collect, document, and analyze data to assess system performance and reliability
- Contribute to quality assurance by identifying system bugs, logging anomalies, and ensuring repeatability and data accuracy
- Suggest engineering improvements based on experimental outcomes
- Participate in the design and analysis of statistically sound experiments (DOE)
- Create clear technical documentation and test reports
Requirements
Qualifications and Skills :
- Pursuing or recently completed a degree in Robotics, Mechanical, Electrical, or Computer Engineering
- Strong academic record with relevant hands-on robotics or automation experience
- Familiarity with embedded systems (e.g., Arduino, Raspberry Pi) and basic electronics
- Operational Excellence and Documentation
- Experience with ROS and/or Python/C++ is preferred
- Detail-oriented with strong problem-solving and communication skills
- Basic understanding of Design of Experiments (DOE) is a plus
- Available for a 6-month full-time internship
- Immediate joiners are preferred
Benefits
Why Join Us
- Gain full-stack robotics experiencefrom prototyping to QA and deployment
- Contribute to cutting-edge AI + robotics tech in a high-growth startup
- Work alongside passionate engineers building real-world impact
- Potential pathway to a full-time role based on performance
