Sight - Software Engineering Lead
Core
Lead the engineering team for AI/ML anomaly detection products using image and parametric data to enable visual error-proofing, defect detection, and assembly process monitoring in manufacturing.
Role type
Senior Engineering Manager (Computer Vision & MLOps)
Builds
Scalable software and MLOps pipelines for industrial anomaly detection products
Domain
Industrial manufacturing / Computer Vision / MLOps
Deliverable
production ML models
Required skills
Engineering leadership, Computer Vision, MLOps, software development lifecycle, Agile management, cross-functional collaboration, edge computing, CI/CD, automated testing
Preferred skills
Master's in technical field, GCP cloud infrastructure, global enterprise scaling, agentic workflows, industrial communication protocols
Technologies
GCP, MLOps platforms, edge computing hardware
Responsibilities
Lead and mentor a multi-disciplinary team of software and data engineers; Own the software development lifecycle for Sight Vision products; Provide technical oversight for software and hardware architecture and MLOps pipelines; Partner with Product Managers to translate manufacturing challenges into technical roadmaps; Ensure seamless integration of vision products with centralized data platforms; Drive engineering best practices including automated testing and CI/CD for edge deployments; Work with site-level stakeholders to account for real-world factory variables
Seniority
Senior, hands-on IC with management responsibilities