Digital Analytics Solution Specialist

zeissgroup; Dublin (CA); On-site; USD 190,000 - 237,000; Full time

Benefits offered by this job

Medical

Vision

Dental

401k Matching

Employee Assistance

Job summary

ZEISS is seeking a Digital Analytics Solution Specialist to help customers address complex semiconductor manufacturing challenges through data-driven analytics. You will collaborate with customers, segment leaders, scientists, and engineers to define requirements and translate them into prototypes and actionable solutions.

The role involves global travel, hands-on development of ML-based analytics, and direct engagement at ZEISS customer sites.

Qualifications

• Master's or PhD in computer science or related field.
• 1–2 years of ML for image processing, including neural nets for detection/classification/segmentation.
• Experience designing and evaluating image processing algorithms and using ML libraries.

Responsibilities

• Develop solution algorithms for semiconductor fabrication using image processing and ML.
• Understand semiconductor processes, customer challenges, and market needs.
• Translate customer analytics needs into prototypes and validate solutions.
• Assess prototype capabilities and communicate findings to customers.
• Work at customer sites globally to gain insights into industry needs.
• Identify improvements and new market opportunities from FIB-SEM exposure.

Skills

ML algorithms

Image processing

Neural networks

Prototype development

Customer collaboration

Education

Master's or PhD

Tools

Image processing libs

ML libraries

Job description

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! Make a difference, come join the team!

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.

Sound Interesting?

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.

We have amazing benefits to support you as an employee at ZEISS!

• Medical
• Vision
• Dental
• 401k Matching
• Employee Assistance Programs
• Vacation and sick pay
• The list goes on!

The above is intended to describe the general content of and requirements for this job. It is not to be construed as an exhaustive statement of requirements, duties, or responsibilities. The Company reserves the right to interpret, amend, or otherwise modify, in whole or in part, any job description at any time, at its sole discretion.

Zeiss provides Equal Employment Opportunity without unlawful regard to an Applicants race, color, religion, creed, sex, gender, marital status, age, national origin or ancestry, physical or mental disability, medical condition, military or veteran status, citizen status, sexual orientation, pregnancy (includes childbirth, breastfeeding or related medical condition), genetic predisposition, carrier status, gender expression or identity, including transgender identity, or any other class or characteristic protected by federal, state, or local law of the employee (or the people with whom the employee associates, including relatives and friends).