Senior Machine Vision Software Architect; Innovation Lab, North Reading

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world!

We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive.

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

We are seeking a Senior Machine Vision Software Architect to lead the architecture, design, and development of advanced machine vision solutions for semiconductor automated test and inspection systems. This role will define the technical vision for next-generation platforms supporting high-precision defect inspection, alignment, metrology, and process control at both wafer and package levels. The ideal candidate combines deep expertise in computer vision, software architecture, semiconductor test systems, and optical inspection technologies while collaborating across software, hardware, optics, systems engineering, and product management teams.

• Lead the software architecture for machine vision and image processing systems used in semiconductor test and inspection applications.
• Develop and optimize advanced algorithms for defect detection, pattern recognition, alignment, and sub-micron metrology.
• Collaborate with optical, mechanical, electrical, software, and systems engineering teams to develop robust end-to-end solutions.
• Build scalable software frameworks, coding standards, development methodologies, and best practices that support performance and maintainability.
• Support system validation, performance characterization, customer deployments, and continuous product improvement.
• Partner with customers, suppliers, and internal stakeholders to translate application requirements into innovative technical solutions.

We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position.

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related field;
  Master's or Ph.D. preferred.
• 12+ years of software development experience, including significant experience architecting and delivering complex machine vision or image processing systems.
• Proven success leading the design and deployment of production-grade software for instrumentation, industrial automation, semiconductor equipment, or related industries.
• Extensive experience developing high-performance software in C#, C++, and Python.
• Strong expertise in computer vision, image processing, inspection, alignment, and precision metrology algorithms.
• Hands-on experience with machine vision frameworks and libraries such as OpenCV, Halcon, Matrox Imaging Library (MIL), or similar technologies.
• Strong understanding of software architecture principles, object-oriented design, multithreaded programming, and system-level integration.
• Experience integrating cameras, optics, illumination systems, motion control, and data acquisition hardware.
• Familiarity with high-throughput, real-time image processing architectures and GPU-accelerated computing.
• Excellent communication, technical…