Senior Computer Vision Engineer

The Senior Computer Vision Engineer will play a critical role in the design, development, and implementation of cutting-edge machine vision solutions for SectionStar, a mechatronic device. This role is multi-disciplinary with responsibility for solving complex problems related to automated inspection, robotics, and computer vision. The ideal candidate will have a proven track record of contributing to innovation in areas like manufacturing automation, quality control, and advanced imaging systems. We are looking for a team player who views medical device development as a competitive advantage.

• Design and develop machine vision algorithms for object detection, segmentation, classification, tracking, and inspection
• Work closely with hardware, software, and robotics teams to integrate machine vision systems into broader automation frameworks
• Lead the planning, execution, and delivery of machine vision projects, ensuring alignment with organizational goals and timelines
• Improve the performance of machine vision systems by refining algorithms for accuracy, speed, and efficiency
• Create prototypes, run simulations, and conduct unit and system testing to validate performance of machine vision solutions in real-world environments
• Analyze imaging data to improve system performance and to train machine learning models for improved accuracy and automation
• Provide guidance and technical mentorship to junior engineers and team members
• Keep up-to-date with the latest advancements in computer vision, machine learning, and automation technologies

• Master’s Degree or Ph.D. in Computer Science, Electrical Engineering, or a related field
• 5+ years of experience in classical image processing
• Prior experience performing hardware optimization of code across both CPU and GPU architectures for improved performance and efficiency
• Proven track record of delivering successful computer vision projects from concept to implementation
• Strong programming skills in both low-level (C++) and high-level languages (Python, MATLAB) with the ability to process large-scale image datasets using Linux/Bash 
• Expertise in machine vision libraries, such as OpenCV
• Experience with image processing techniques, pattern recognition, and feature extraction
• Proficiency with camera technologies, lighting techniques, optics, and sensor integration
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Ability to lead and work within cross-functional teams
• Attention to detail and a commitment to delivering high-quality results
• Familiarity with deep learning / neural networks a plus
• Experience inindustrial automations, or robotics a plus
• Prior experience working with hardware-software integration for vision systems a plus
• Familiarity with real-time image processing and optimization for embedded systems a plus
• Expertise in Digital Pathology and Machine Vision for the automation of medical diagnostic processes a plus
• Experience working within environments that adhere to data security protocols and HIPAA requirements a plus