Nova seeks a Deep Learning & Computer Vision Expert to drive AI-powered innovation and shape the future of semiconductor manufacturing.

As a key member of Nova’s Advanced Technology Group (ADT), the company’s R&D core, you’ll be part of a multidisciplinary team addressing complex challenges at the crossroads of physics, algorithms, and hardware.

In this pivotal, high-impact role, you will serve as a technical architect and subject-matter authority, integrating deep learning, physics-based models, and advanced hardware systems.

You’ll collaborate closely with leading experts in physics, optics, hardware, and software, and report directly to the Head of Advanced Technology.

You’ll lead the full R&D lifecycle, from early feasibility studies to scalable industrial deployment, while mentoring others and influencing Nova’s strategic technology roadmap.

Responsibilities

What will you be doing:

• Architect, design, and lead the end-to-end implementation of deep learning and image-processing algorithms for high-throughput industrial environments.
• Drive feasibility studies and prototype development of novel metrology technologies.
• Stay ahead of emerging trends in AI, computer vision, and semiconductor physics to guide Nova’s strategic R&D direction.
• Collaborate closely with cross-functional teams across physics, optics, hardware, and software.
• Act as a subject-matter expert, influencing technical decisions and innovation strategies.
• Mentor engineers and researchers, fostering a culture of technical excellence and innovation.
• Communicate and present complex algorithmic concepts to internal stakeholders in a clear and engaging manner.
• Take full ownership of algorithmic performance, robustness, and scalability in production environments.

Requirements

Must Have:

• • M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or related fields.
• • 7+ years of hands-on experience in computer vision and image processing.
• • Strong proficiency in Python.
• • Proven expertise in deep learning frameworks such as PyTorch or TensorFlow.
• • Demonstrated experience deploying machine learning algorithms into production.
• • Strong analytical and problem-solving skills, with a first-principles mindset.

Advantages:

• • Experience in semiconductor, [email protected], or physics-based modeling.
• • Proficiency in CUDA and/or C++ for GPU acceleration and high-performance computing.
• • Publications in top-tier conferences or patents in algorithmic innovation.

That special something you bring:

• Excellent technical understanding and orientation.
• Creative and resourceful when troubleshooting complex challenges.
• Ability to work both independently and as part of a multidisciplinary team.
• Strong verbal, presentation, and written communication skills in English.
• Proactive, hands-on, and driven by a “can-do” attitude.
• Brings an entrepreneurial mindset and thrives in fast-paced, start-up environments.

Get to know us better:

Nova (NASDAQ: NVMI) is a global company and a leading provider of innovative metrology solutions for process control in semiconductor manufacturing.

With a team of ~1200 people in three R&D centers and 27 field offices, we bring insights into the world’s most advanced industry. We leverage multiple technology fields such as physics, optics, chemistry, and algorithms to develop hardware and software solutions that measure almost every advanced computer chip built in the world.

Nova dives deep into dimensions and layers at the atomic level to extract unique insights and provide our customers with crucial decision-making data, managing critical challenges by providing unique, differentiated solutions.

Our outstanding people-focused and innovative culture means every person at Nova has the power to make an impact and significantly redefine what people can achieve through technology.

Join us if you are

A dreamer and brilliant high aimer who sees the impossible as the starting point and loves working in a multidisciplinary global team to create innovative breakthroughs.

If you need assistance due to a disability, you may contact us at [email protected]