Senior Computer Vision Engineer

at  Clarapath

JOB TITLE: Senior Computer Vision Engineer
LOCATION: Hawthorne, NY (on-site)
TYPE: Full time, regular
COMPENSATION: $120,000 – $150,000/yr
Clarapath is a medical robotics company based in Westchester County, NY. Our mission is to transform and modernize laboratory workflows with the goal of improving patient care, decreasing costs, and enhancing the quality and consistency of laboratory processes. SectionStar™ by Clarapath is a ground-breaking electro-mechanical system designed to elevate and automate the workflow in histology laboratories and provide pathologists with the tissue samples they need to make the most accurate diagnoses. Through the use of innovative technology, data, and precision analytics, Clarapath is paving the way for a new era of laboratory medicine.
Role Summary:
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.

Responsibilities:

• 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

Qualifications:

• 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 in industrial 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

Company Offers:

• Competitive salary, commensurate with experience and education
• Comprehensive benefits package available: (healthcare, vision, dental and life insurances; 401k; PTO and holidays)
• A collaborative and diverse work environment where our teams thrive on solving complex challenges
• Ability to file IP with the company
• Connections with world class researchers and their laboratories
• Collaboration with strategic leaders in healthcare and pharmaceutical world
• A mission driven organization where every team member will be responsible for changing the standards of delivering healthcare

Clarapath is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. In addition to federal law requirements, Clarapath complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training

• 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 technologie