RFA Engineering is seeking engineers to develop cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications by leveraging technologies like robotics, computer-vision, and machine learning.
Requirements
- Proven embedded development experience in C++
- Programming and software design skills to support vision and perception development.
- Experience with various sensors such as LIDAR, radar, and cameras.
- Basic knowledge of computer networking using the Internet Protocol, including routing, TCP, and UDP.
- C++ Experience including Qt, Boost, OpenCV.
- Experience with embedded Linux.
- Demonstrated experience and familiarity with image processing and computer vision technology, especially 3D vision.
Responsibilities
- Develop vehicle systems and sub-systems to enable autonomous and automated assist methods to improve machine productivity, comfort, and safety.
- Perform independent and team research and development involving architecture, coding, simulation, calibration, and validation for obstacle intelligence systems.
- Implement schemes for object detection, classification, tracking, and prediction using stereo camera, radar, lidar, etc.
- Perform sensor and system calibration to validate all systems and algorithms using both simulations and test vehicles.
- Explore and develop new methods for improving and optimizing computational throughput and performance.
- Interface with embedded development teams to support overall vehicle architecture.
- Assist with the development and maintenance of specialized robotics software tools.
Other
- Collaborate with diverse team members in a wide range of disciplines including Robotics, Control Engineering, Machine Learning, Computer Vision, Software Engineering, and Systems Engineering.
- Participate in reviews with peers and internal project stakeholders.
- Develop presentations to demonstrate project advancements.
- Must have a valid Driver’s License
- BS/MS or PhD in Computer Science, Software, Electrical, Computer Engineering or a related field.