Zeissgroup

Digital Analytics Solution Specialist

In short

This role develops data-driven, machine learning and image processing solutions for semiconductor fabrication, partnering directly with customers at global sites to solve manufacturing challenges. It's posted by ZEISS, a long-established global company in optics and industrial technology, for its Semiconductor Fab Solutions team. The role demands a Master's or PhD in computer science or related field, 1–2 years of experience with ML algorithms for image processing (neural networks, SVMs), expertise in image processing techniques, and willingness to travel up to 50%, including internationally.

About Us
How many companies can say they've been in business for over 179 years?! Here at ZEISS, we certainly can! As the pioneers of science, ZEISS handles the everchanging environments in a fast-paced world, meeting it with cutting edge of technologies and continuous advancements. ZEISS believes that innovation and technology are the key to a sustainable future and solutions for global change. We have a diverse range of portfolios throughout the ZEISS family in segments like Industrial Quality & Research, Medical Technology, Consumer Markets and Semiconductor Manufacturing Technology. We are a global company with over 42,000 employees and have over 4,000 in the US and Canada alone!
What's the role?
The Semiconductor Fab Solutions (SFS) team within ZEISS SMT is seeking a customer-focused Digital Analytics Solution Specialist to help customers address complex semiconductor manufacturing challenges through data-driven application solutions. This role partners with key customers, segment leaders, scientists, and engineers to understand critical process needs, solve technical challenges, and drive adoption of innovative analytics tools that improve performance, decision-making, and business impact.
Here's what you'll do
•Develop solution algorithms for semiconductor fabrication applications, using both classical image processing and state-of-the-art machine learning methods.
•Build a strong understanding of semiconductor manufacturing processes, customer challenges, and market needs.
•Define requirements from firsthand customer analytics needs and translate them into prototypes; develop, implement, test, and optimize solutions that address specific technical challenges.
•Assess prototype capabilities and limitations, and clearly communicate findings to customers.
•Work at customer and partner sites globally to gain firsthand experience and deeper insight into semiconductor industry needs.
•Apply technical expertise and innovative thinking to deliver solutions that create meaningful impact for customers and the broader semiconductor industry.
•Identify improvement areas and new market opportunities through firsthand exposure to semiconductor FIB-SEM applications at customer sites.
•Develop customer-specific solutions through direct engagement at ZEISS customer sites.
•Travel up to 50%, primarily within the United States, with occasional international support in locations such as Korea, Japan, China, Taiwan, and Germany.
Do you qualify?
•Master's or PhD degree in computer science or a related field.
•1–2 years of experience designing and implementing machine learning algorithms for image processing applications, including neural networks for detection, classification, segmentation, and support vector machines.
•Expertise in designing, analyzing, implementing, and testing image processing algorithms, including filters, noise and distortion correction, image registration and alignment, and contour extraction.
•Ability to understand, maintain, and optimize existing code.
•Strong understanding of leading image processing and machine learning libraries, including their strengths and limitations.
•Background in semiconductor manufacturing preferred.
•Experience working directly with customers in an interactive requirements-gathering environment.
Compensation
•The annual pay range for this position is $190,000 – $237,000.
•The actual salary offered may vary based on factors such as job location, scope of the role, qualifications, education, experience, and the complexity, specialization, and scarcity of talent.
•This position is also eligible for a performance bonus or sales commission, as applicable.
Benefits
•Medical
•Vision
•Dental
•401k Matching
•Employee Assistance Programs
•Vacation and sick pay
•The list goes on!

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