NIST PREP Robotics and Perception Systems Engineer
Southeastern Universities Research Association NIST PREP Robotics and Perception Systems Engineer
Summary
Engineer at Southeastern Universities Research Association working on a NIST research program: runs experiments on 3D vision systems for manufacturing and automation, programs collaborative robot arms, uses metrology and CAD tools, and writes reports and publications. Stack: Python, MATLAB, C++/Java, PyTorch, TensorFlow, SolidWorks, Linux.
You will conduct experiments on 3D vision systems and analyze their performance for manufacturing and automation applications. You will program collaborative robot arms, use metrology and analysis tools, design tooling and fixtures, document best practices, and contribute to reports and peer-reviewed publications.
Responsibilities
- Conduct experiments using existing and novel test methods for 3D vision systems
- Research how object properties and sensor settings affect test metrics
- Program collaborative robot arms for automation tasks
- Use metrology systems to establish reference measurements
- Analyze results and produce visualizations using analysis software
- Write reports and contribute to peer-reviewed publications
- Work with commercial bin-picking systems
- Develop demonstrations for trade shows and conferences
- Perform market research for laboratory purchases
- Design parts, end-of-arm tooling, and fixtures using CAD software
- Coordinate fabrication of parts with NIST and external resources
- Record knowledge and best practices to improve efficiency and productivity
Requirements
- Bachelor's or master's degree in engineering, or be in the final or penultimate year of a bachelor's or master's program
- Experience working with robotic systems such as robot arms or mobile manipulators
- Experience with CAD software such as SolidWorks
- Experience using MATLAB and Python
- Basic understanding of PyTorch and TensorFlow
- Programming experience in C++ or Java
- Experience using 3D printers
- Basic understanding of 3D sensors such as LiDAR or RGBD cameras
- Basic understanding of Unix/Linux operating systems
- Working knowledge of 3D point-cloud data processing techniques, CloudCompare, or similar tools