Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
The AI Institute is building an environment that fosters the kind of blue-sky thinking found in academic labs and quickly drives it to practice through development discipline and resources more common to top-tier industry teams
As a Robot Data Collection Engineer, you will be working with Researchers, Engineers and Technicians to conduct accurate and efficient data collection across multiple research programs. You will play a crucial role in ensuring the successful execution of skills and behaviors on robotic hardware and also organizing data generated. This position requires a combination of technical skills, attention to detail, and a proactive approach to problem-solving.
Responsibilities
- Utilize specialized software, prebuilt programs and tools to collect high quality data generated by robots during operation.
- Execute closed and open-loop policies on robotic hardware according to predefined plans. Monitor and record execution outcomes using comprehensive logs to facilitate analysis and evaluation.
- Collaborate with the development team to identify and address any issues that may arise during hardware verification.
- Maintain a proactive approach to detect significant performance deterioration during execution and promptly notify the team.
- Work with a variety of robotic platforms, including Boston Dynamics Spot, Kuka LBR iiwa robot, and the Franka Emika FR3 robot arm.
Requirements
- BS/MS in computer science, robotics, or a related technical field.
- Experience with programming languages such as Python or C++.
- Proficiency with Linux operating systems, including command-line interfaces and shell scripting.
- Experience configuring and troubleshooting networking, software and hardware issues.
- Excellent communication skills to effectively collaborate with the development team and report findings.
Bonus
- Familiarity with ROS, docker containers, Motion Capture Systems
- Familiarity with Reinforcement Learning, Policy training
- Familiarity with CAD and 3D printing
- Familiarity with data analysis tools and techniques, such as statistical analysis, machine learning, and data visualization.
These attributes are great to have but not required for our candidates. Candidates who lack these should not be discouraged from applying.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
