Software Engineer 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.

• 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.