Algorithm Developer

We are looking for a highly talented and experienced Algorithm Developer to join our unique product team and help develop the next generation of semiconductor inspection technology.

This role is ideal for an algorithm expert who enjoys taking innovative ideas from early research and proof of concept all the way through robust, production-grade implementation and deployment. You will work on advanced image-processing and deep-learning algorithms for a next-generation e-beam inspection platform, with a particular focus on defect detection, registration, scoring, and electrical defect analysis.

You’ll be part of a multidisciplinary R&D team developing advanced algorithms for image processing and semiconductor inspection. The role combines cutting-edge algorithm research with hands-on implementation, high-performance infrastructure, and end-to-end deployment.

You’ll have the opportunity to:

• Explore, research, and prove out new algorithms for a next-generation e-beam inspection tool.
• Take algorithm concepts from initial research through robust, production-grade solutions.
• Own the deployment and integration of algorithms into the inspection system end to end.
• Solve challenging problems involving semiconductor defect detection, localization, registration, and electrical failure-mode analysis.
• Collaborate closely with system designers, software engineers, application developers, architects, and product teams.

We are part of the R&D organization responsible for developing the next generation of software and algorithm solutions that power Applied Materials’ cutting-edge metrology and inspection systems.

Our team develops technologies that combine advanced computer vision, deep learning, image processing, and semiconductor inspection expertise to solve complex customer challenges.

• Research, design, and implement advanced algorithms for next-generation e-beam inspection applications.
• Develop registration and scoring algorithms for the Detection domain, including Image-to-CAD alignment, non-rigid registration, defect detection, and defect localization.
• Develop algorithms supporting electrical defect analysis, including voltage contrast and electrical failure-mode analysis.
• Build zero-to-low-shot training capabilities and improve algorithm workflow usability, performance, and robustness.
• Take new algorithm concepts from proof of concept through production-ready implementation and deployment.
• Own algorithm deployment into the system and help ensure successful end-to-end integration.
• Partner with image-processing software engineers to optimize algorithm performance and support extremely high-speed inspection applications.
• Work closely with system designers, software engineers, and application developers to develop integrated solutions.
• Collaborate with architecture and product teams to refine requirements and design scalable solutions that address complex customer problems.

• 5+ years of algorithm R&D experience, with deep expertise in image processing, computer vision, deep learning, or related disciplines. More extensive experience developing production-level algorithms is strongly valued.
• M.Sc. or Ph.D. in a relevant engineering, computer science, applied mathematics, physics, or related technical field.
• Proven experience designing and implementing robust, production-grade algorithms, not solely research prototypes.
• Strong experience with image-processing and/or computer-vision algorithms.
• Experience with electrical defect analysis algorithms, including voltage contrast or electrical failure-mode analysis, is highly desirable.
• Hands-on experience with SEM/e-beam inspection or metrology systems in semiconductor production environments is highly desirable.
• Demonstrated ability to move algorithms through the full lifecycle, including research, validation, optimization, integration, and deployment.
• Strong understanding of software and algorithm infrastructure, with the ability to collaborate effectively with engineering teams.
• Strong interpersonal and communication skills, particularly when collaborating with remote and cross-functional teams.
• A strong sense of accountability and ownership, with the ability to independently drive complex technical initiatives.

At Applied Materials Process Diagnostics and Control business unit (PDC), we develop, manufacture, and market cutting-edge machine learning and computer vision-based metrology and inspection products that are essential elements in wafer fabrication.

By helping enable the production of the next generation of microchips, our technology and expertise empower customers to transform possibilities into reality.