Software Engineer 3 Onto Innovation

Key Responsibilities Responsibilities will be scoped to your experience level; early-career engineers will focus on the foundational items while senior engineers will take on broader ownership and leadership. Systems Thinking & Problem Decomposition Build and continuously refine an accurate mental model of the full Onto inspection platform—optics, motion, electronics, image acquisition, and software stack. Translate customer problems and application requirements into well-scoped engineering tasks by reasoning across subsystem boundaries. Agility to zoom from system-level architecture down into any specific areas: databases, algorithm performance, hardware, data flow, GPUs, GUIs, etc. Participate in New Product Development (NPD) alongside hardware engineers, application engineers, Technical Project Managers, and Program/Product Managers. Algorithms & Software Engineering Apply machine learning, image processing, computer vision, mathematics, and optics to develop algorithms integrated into Onto inspection platforms. Develop or contribute to optical imaging modeling/calibration and/or image segmentation, classification, and detection algorithms. Write, test, and debug software to ensure high-quality, reliable operation; optimize for performance and scalability. Perform or lead (based on experience) requirement analysis, detailed software design, production code development, and associated test plans. Participate in design/code reviews collaborating with systems engineers, software developers, and other technical staff. Leverage AI coding agents to accelerate implementation, while maintaining ownership of architecture decisions, design integrity, and code quality. Continuous Learning & Collaboration Stay current with academic research and industrial practices in machine vision inspection, image processing, machine learning, and AI-assisted engineering. Document software designs, system-level rationale, development processes, and troubleshooting steps. Support teammates and, at senior levels, provide technical mentorship—especially in systems thinking. Contribute to improving the team’s development workflows and tooling, including AI-assisted practices. #J-18808-Ljbffr