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2 results for Rpa Engineer in Boston, MA
- Cambridge, MA
- onsite
- Permanent / Full Time
- 150000 - 180000 USD / Yearly
- We are looking for a Software Integration Engineer to help connect industrial imaging hardware with reliable software systems that support modern manufacturing operations in Cambridge, Massachusetts. In this role, you will work across camera technologies, application software, and backend services to ensure image capture and device performance meet production needs. This position offers the chance to contribute to a growing team focused on practical computer vision solutions used in real factory environments.<br><br>Responsibilities:<br>• Build and support camera capture capabilities within production software workflows used in manufacturing environments.<br>• Create and maintain integrations for GenICam-compatible cameras, including work with Basler and related imaging toolkits when applicable.<br>• Investigate and resolve image acquisition problems such as timing inconsistencies, dropped frames, and synchronization failures.<br>• Adjust and fine-tune imaging settings including exposure, gain, trigger behavior, and lighting coordination for different use cases.<br>• Collaborate with software engineers to extend hardware connectivity and improve backend services for image capture and device management.<br>• Assess suitable lenses, optics, and illumination approaches to improve image quality and application performance.<br>• Develop and maintain interfaces between the platform and customer equipment, including industrial control and automation systems.<br>• Support configuration of real-time monitoring and control environments tied to production operations where needed.
- 2026-09-21T00:00:00Z
- Cambridge, MA
- onsite
- Permanent / Full Time
- 130000 - 160000 USD / Yearly
- We are looking for a Computer Vision Engineer to join a growing team building AI-driven solutions for manufacturing environments in Cambridge, Massachusetts. In this role, you will create and deploy vision models that interpret live camera feeds to support defect detection and workflow monitoring across industrial settings. This position is ideal for an engineer who enjoys turning machine learning concepts into reliable production systems and collaborating closely with technical teams to deliver measurable operational value.<br><br>Responsibilities:<br>• Design, train, and refine computer vision models for manufacturing use cases such as defect identification, anomaly detection, and step-by-step task tracking.<br>• Build production-ready Python-based machine learning pipelines using frameworks such as PyTorch or TensorFlow.<br>• Work with image and video data captured from facility cameras to develop accurate and scalable real-time analysis solutions.<br>• Deploy and support vision applications in cloud and edge environments, including AWS services such as S3 and EC2.<br>• Collaborate with engineering leadership and cross-functional teammates to translate customer needs into practical model and system designs.<br>• Create solutions from the ground up using supervised and unsupervised learning techniques where appropriate.<br>• Improve system performance through testing, evaluation, and iterative tuning of algorithms in live operational settings.<br>• Participate in periodic onsite visits to customer facilities to understand workflows, validate model behavior, and support implementation.
- 2026-09-21T00:00:00Z