VulcanForms Inc. · 11 hours ago
Sr. Computer Vision Engineer
Devens, MA
Full-time
Onsite
Senior Level
$126K/yr - $173K/yr
5+ years expVulcanForms Inc. is reshaping how the world manufactures critical products through advanced digital infrastructure and scalable additive manufacturing solutions. The Senior Computer Vision Engineer will design and deploy vision-based software systems to enhance process monitoring, inspection, and quality assurance in additive manufacturing operations.
IndustrialInfrastructureManufacturingSustainability
Responsibilities
Architect, develop, and deploy computer vision systems for in-situ and ex-situ defect detection, inspection, and quality assurance across additive manufacturing workflows
Research, evaluate, and implement state-of-the-art computer vision and machine learning techniques—including segmentation, object detection, tracking, and anomaly detection—to identify defects and process deviations
Improve the accuracy, performance, and robustness of image processing and vision algorithms to deliver timely feedback that enables data-driven operational decisions
Preprocess, curate, and annotate large-scale image and video datasets to support model training, validation, and deployment
Establish performance metrics, conduct benchmarking, and continuously improve vision models and supporting software for reliability in production environments
Work closely with Process Monitoring, Process Engineering, Materials Science, Data Engineering, Quality, and Operations teams to scope requirements and deliver vision solutions that integrate seamlessly into factory systems
Ensure computer vision systems meet production standards through robust testing, monitoring, version control, and deployment practices
Serve as a technical expert for stakeholders adopting vision-based tools, providing guidance on capabilities, limitations, and opportunities for improvement
Qualification
Required
5+ years of experience in computer vision, machine learning, or applied software engineering roles
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, Applied Mathematics, or a related field (or equivalent experience)
Strong proficiency in Python and experience with computer vision and ML frameworks (e.g., OpenCV, PyTorch, TensorFlow)
Proven experience developing and deploying vision algorithms for real-world or production environments, especially utilizing GPUs for faster computation
Strong understanding of image processing, feature extraction, segmentation, and object detection techniques
Experience working with large-scale image and video datasets, including data preprocessing and annotation workflows
Solid software engineering fundamentals, including version control, testing, and CI/CD practices
Ability to independently own technical solutions and collaborate effectively across multidisciplinary teams
Preferred
Experience applying computer vision in manufacturing, industrial automation, robotics, or hardware-focused environments
Experience with ML model deployment, monitoring, and lifecycle management in production systems
Familiarity with real-time or near-real-time vision systems and performance optimization
Experience working with sensor data, high-speed cameras, or industrial imaging systems
Knowledge of additive manufacturing, materials science, or process monitoring technologies
Familiarity with ML Ops tools or workflows (e.g., MLflow, model versioning, experiment tracking)
Experience improving reliability and scalability of vision systems across multiple production sites
Benefits
Medical, dental, vision, and life insurance
Generous paid time off
401(k) plan with company match
Company
VulcanForms Inc.
VulcanForms builds and operates advanced digital manufacturing infrastructure that enables the world's critical industries to innovate, grow, and deliver sustainable impact.
201-500 employees
H1B Sponsorship
VulcanForms Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2023 (1)
2022 (2)
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$355MKey Investors
D1 Capital PartnersEclipse VenturesFontinalis Partners
2022-07-05Series C· $250M
2020-05-15Series B· $77M
2019-05-03Series Unknown· $5M
Leadership Team
Kevin Kassekert
Chief Executive Officer
A. John Hart
Co-Founder
Recent News
2025-05-04
2025-05-04
2025-05-04
Company data provided by crunchbase