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expertise in computer vision, motion planning, machine learning, kinematics, or graphics. Experience in embedded Linux, real-time systems (RTOS), or developing low-level hardware drivers. Background in
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expertise in computer vision, motion planning, machine learning, kinematics, or graphics. Experience in embedded Linux, real-time systems (RTOS), or developing low-level hardware drivers. Background in data
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successful candidate will be proficient in hardware-software integration and advanced vision systems, including deep learning, object detection, and tracking. Strong experience with embedded platforms
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experience. Computer Engineering: Expertise in chip design and verification, electronic design automation, computer architecture, and emerging computing platforms is of particular interest, including AI/ML
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, and/or robotics for greenhouses and vertical farming systems. The successful candidate will focus on robot hardware development, automation system design, machine vision, and intelligent control
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design principles, infrastructure management, and serving as the primary liaison with the College Computer Center and university IT services and security offices. The Associate Director is responsible for
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: Partner closely with robotics engineers, hardware teams, and field operators to design custom, intuitive interfaces for complex robotic systems. Build Native Qt/QML Frontends: Develop fluid, hardware
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: Partner closely with robotics engineers, hardware teams, and field operators to design custom, intuitive interfaces for complex robotic systems. Build Native Qt/QML Frontends: Develop fluid, hardware
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) Experience with ROS / ROS 2 ecosystems, computer vision, or autonomous navigation systems Familiarity with hardware manufacturing phases (EVT, DVT, PVT) and vendor/supplier management Experience deploying
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) Experience with ROS / ROS 2 ecosystems, computer vision, or autonomous navigation systems Familiarity with hardware manufacturing phases (EVT, DVT, PVT) and vendor/supplier management Experience deploying