Computer Vision Engineer

Clarapath•Hawthorne, NY

1d•Onsite

About The Position

Clarapath is a medical robotics company based in Westchester County, NY, dedicated to transforming and modernizing laboratory workflows. Our mission is to improve patient care by increasing efficiency, reducing costs, and enhancing the quality and consistency of laboratory processes. Our portfolio includes SectionStar® and TrimStar Pro®, innovative electro-mechanical systems designed to automate and elevate critical steps in the histology workflow. SectionStar® delivers high-quality, consistent tissue sections, while TrimStar Pro® streamlines and standardizes the trimming process - together enabling laboratories to operate with greater precision, throughput, and reliability. At Clarapath, we bring together experts across engineering, data science, robotics, healthcare innovation, and laboratory operations. Our R&D team drives innovation, product enhancements, and a strong pipeline of new solutions, while our manufacturing team oversees production and quality control at our ISO-certified facility. Also based in our New York headquarters are our sales, marketing, administrative, and service teams, who work closely together to ensure every customer receives a seamless, personalized experience at every touchpoint. The Computer Vision Engineer will play a key role in the development, integration, and continuous improvement of computer vision systems for Clarapath’s advanced SectionStar® and TrimStar Pro® platforms. This individual will contribute to all phases of the product development lifecycle, from algorithm development and data collection through model training, testing, validation, deployment, and continuous improvement in the field. Working closely with mechanical, electrical, embedded software, manufacturing, quality, and customer-facing teams, the Computer Vision Engineer will develop robust vision-based solutions that enable accurate, reliable, and automated laboratory workflows while meeting performance, reliability, and regulatory requirements. We are seeking a hands-on engineer who enjoys solving complex technical challenges, thrives in a collaborative and fast-paced environment, and is passionate about applying computer vision, machine learning, and image processing technologies to innovative medical devices and automation systems that improve laboratory workflows and patient outcomes.

Requirements

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Applied Mathematics, or a related technical field
5+ years of professional experience developing computer vision, image processing, machine learning, or related systems
Strong programming skills in Python and/or C++
Experience with computer vision and image processing libraries such as OpenCV.
Experience developing, training, evaluating, and deploying machine learning or deep learning models.
Familiarity with frameworks such as PyTorch, TensorFlow, or similar
Strong understanding of image processing, computer vision fundamentals, and machine learning concepts
Experience working with real-world imaging data and developing solutions that perform reliably outside of controlled laboratory environments
Strong analytical and problem-solving skills
Ability to work hands-on with hardware, imaging systems, and laboratory or robotic equipment
Excellent communication and collaboration skills
Ability to work effectively in a fast-paced, multidisciplinary engineering environment
Willingness to work on-site in Hawthorne, NY

Nice To Haves

Experience with 3D computer vision, depth sensing, stereo vision, or point-cloud processing, a plus
Experience with object detection, image segmentation, image registration, feature extraction, or optical flow, a plus
Experience working with cameras, lenses, lighting systems, and image acquisition hardware, a plus
Experience integrating computer vision systems with robotics or automated equipment, a plus
Experience with NVIDIA GPUs, CUDA, TensorRT, or edge AI deployment, a plus
Experience optimizing computer vision or machine learning models for real-time performance, a plus
Experience with robotic systems, motion control, or automation, a plus
Experience working with medical devices, laboratory automation, biomedical imaging, or regulated products, a plus
Familiarity with software development practices including Git, code reviews, automated testing, and CI/CD, a plus
Experience with system-level debugging and root-cause analysis, a plus
Familiarity with ISO 13485, design controls, and medical device development processes, a plus

Responsibilities

Develop, implement, and optimize computer vision and image processing algorithms for medical robotics and automated laboratory systems
Design vision-based solutions for object detection, segmentation, tracking, registration, measurement, inspection, and alignment
Develop and deploy machine learning and deep learning models for image analysis and automated decision-making
Collect, curate, annotate, and analyze image datasets to support algorithm and model development
Evaluate model and algorithm performance using appropriate metrics, testing methodologies, and real-world datasets.
Integrate computer vision algorithms with robotic, mechanical, electrical, and software systems.
Develop solutions that operate reliably under real-world variations in lighting, positioning, imaging conditions, tissue characteristics, and system configurations
Prototype and test algorithms using laboratory equipment, imaging systems, and production hardware
Troubleshoot and optimize vision systems during development, verification, manufacturing, and field deployment
Collaborate with Software, Electrical, Mechanical, Manufacturing, Quality, and R&D teams to translate system requirements into practical computer vision solutions
Participate in design reviews, technical investigations, root-cause analysis, and continuous improvement initiatives
Develop technical documentation, test plans, verification procedures, and other engineering documentation in accordance with medical device development practices
Support verification and validation activities and contribute to maintaining compliance with applicable quality and regulatory requirements
Monitor deployed systems and use performance data to identify opportunities for algorithm and product improvements
Stay current with advances in computer vision, machine learning, image processing, and AI technologies and evaluate their potential application to Clarapath products