Digital Solutions Architect – Analytics and AI (Semicon) - #1133530

Overview

We are seeking a strategic, detail-oriented, and entrepreneurial Digital Solutions Architect to lead the development and growth of our AI analytics software portfolio in strategic semiconductor manufacturing customers. At Cohu, Digital Solutions Architects act like owners—embedding with customers to deeply understand their toughest challenges and shaping analytical solutions on top of our software platform that leverages the latest AI advancements. You’ll work directly with clients and engineering teams to design and deliver tailored solutions, partner closely with sales and executive leadership to drive commercial success and work closely with engineering to influence product strategy and roadmap. This model emphasizes autonomy, technical breadth, and the opportunity to make a direct and measurable impact on customer outcomes and business growth. Cohu is looking for Digital Solutions Architects to grow our customers in each of the Southeast Asia, Europe, and North American regions.

Key Responsibilities

Direct Customer Engagement:

• Own responsibility for landing commercial agreements for software analytics products at specific named customers

  • Conduct in-person and remote meetings to understand client requirements, gather feedback, and ensure satisfaction.

  • Travel to customer sites for 1-2 weeks at a time to become fully embedded in customer processes.

• Build lasting relationships with customers, acting as their advocate within Cohu while turning them into advocates for Cohu software.

Pre-Sales Activities:

• Collaborate with sales teams to identify opportunities and create a strategic plan for Cohu analytics within each customer

  • Prepare and deliver compelling product demonstrations and presentations to prospective clients.

  • Collect and document the requirements for solutions that will impact customer challenges and develop customized proposals and technical documentation in support.

  • Work with sales to drive to secure the key orders from targeted customers

  • Support sales enablement by providing technical expertise during the sales cycle.

  • Either directly build or collaborate with application engineers to build custom user workflows for customers using generative AI.

Software Applications Focus:

• Work closely with engineering and development teams to define product requirements and prioritize features.

Solution Development & Delivery:

• Architect and oversee the implementation of custom software solutions for clients, leveraging the latest technologies and best practices.

• Own the end-to-end execution of high-impact projects, from ideation to deployment.

• Ensure successful product adoption and ongoing customer success through proactive support and continuous improvement.

Requirements:

• Experience in semiconductor manufacturing – must be sufficiently familiar with the semiconductor manufacturing space to have meaningful conversations with manufacturing workers, managers and leaders.

• Experience working with or selling analytics products, and an optimistic mindset about the impacts of AI/ML.

• Bachelor’s or master’s degree in physics, computer science, engineering, or related field.

• Proven experience in software product marketing, product management, pre-sales engineering, or customer-facing technical roles.

• Strong technical background in software applications and integration technologies.

• Excellent communication, presentation, and relationship-building skills.

• Demonstrated ability to work collaboratively across cross-functional teams and with external clients.

• Analytical mindset with a passion for solving complex business and technical problems.

• Willingness to travel and spend significant time onsite with customers (1-2 weeks at a time)

Bonus Skills or Background:

• Entrepreneurial experience, such as startup co-founder

• Prior experience in sales, pre-sales engineering or technical consulting for software products.

• Experience working directly with enterprise customers in a fast-paced, innovative environment.

• Experience in both fab and assembly & test

• Experience or training in user-centered design or user research

• Software development experience

• Experience using generative AI coding tools