Manager Software Engineering
PDF Solutions
Manager Software Engineering
PDF Solutions
End-to-end analytics platform for semiconductors
At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Our cutting-edge technologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team, you'll have the opportunity to work with some of the brightest minds in the industry, tackle complex challenges, and contribute to groundbreaking advancements that shape the future of technology. Headquartered in Santa Clara, California, PDF Solutions also operates worldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.
This is a specific role with in the Manager, Software Engineering category. We are seeking the manager to lead a forward deployment team who embed directly with semiconductor manufacturing and fabless customers to design, deploy, and iterate on our AI-powered analytics applications. This is a hybrid technical/people leadership role: part software engineering manager, part solutions architect, part customer-facing delivery lead. You will own the translation of LLM-based analytics, agentic workflows, and custom application logic into production tools running against live fab and test data.
The successful candidate will work closely with customers, sales, product management, R&D, applications engineering, and other technical teams to understand customer requirements, develop compelling technical solutions, and drive successful adoption of our products and solutions.
This is an ideal opportunity for a AI and/or semiconductor professional who enjoys solving complex technical problems, working directly with customers, and developing high-performing engineering teams.
Lead a software development team with focus on microservice development in .NET/Python
Responsible of code review, integration testing, development and support of build and deployment pipelines
Own delivery of custom application builds on top of PDF’s existing platform — from requirements gathering through prototyping, deployment, and hardening for production use
Translate ambiguous customer problems (yield excursions, test optimization, fab data correlation) into scoped application architectures using LLM-based analytics, agent frameworks, and existing platform APIs
Partner with Product and core Engineering to identify which customer-driven builds should be generalized into platform features vs. remain bespoke
Set technical standards for forward-deployed work: code quality, security/data-handling practices at customer sites, versioning, and handoff processes
Manage the team's engagement model across a global account base — balancing embedded, high-touch engagements with scalable delivery patterns
Act as the escalation point for technically complex or politically sensitive deployments (data access constraints, IP boundaries, custom vs. core roadmap conflicts)
Recruit, coach, and develop engineers who can operate independently in ambiguous, customer-facing technical environments
Report on team capacity, deployment pipeline, and delivery outcomes to senior leadership
Client engagement
Build trusted relationships with customer engineering and technical leadership.
Partner closely with Sales and Business Development teams throughout the customer lifecycle.
Provide technical support during the sales process, including discovery, qualification, technical presentations, demonstrations, proposals, and negotiations.
Support account planning and strategic customer engagements.
Master's degree in Electrical Engineering, Computer Engineering, Semiconductor Engineering, Physics, Computer Science, or a related technical discipline.
7+ years of experience in the semiconductor industry, or 5+ years of experience in a combined environment where AI and semiconductor knowledge are applied (including any period of master degree study).
3+ years of people-management or technical leadership experience, or 2+ years of Software development experience or technical R&D thought-leader experience
Experience in distributed and parallel programming with focus on scalability, resiliency and performance
Experience building and shipping applications powered by LLMs or agentic frameworks (retrieval, tool-use/agent skills, structured output generation) including prototypes
Domain familiarity with semiconductor manufacturing, test, or yield analytics — direct experience with fab data, wafer test data, or characterization workflows strongly preferred
Demonstrated experience in forward-deployed or professional-services-adjacent models: building for one customer while keeping an eye on generalizability
Strong technical judgment on complexity analysis, data architecture, API design, and integration patterns for enterprise/fab environments
Strong ability to translate complex technical requirements into practical business and technical solutions.
Excellent presentation, communication, and customer-facing skills.
Demonstrated ability to lead cross-functional teams and influence stakeholders without direct authority.
Strong analytical, problem-solving, and project management skills.
Willingness to travel domestically and internationally as required.
End-to-end analytics platform for semiconductors
PDF Solutions offers an end-to-end analytics platform for the semiconductor industry, combining software tools and engineering services to help fabs boost yields and efficiency. Its software collects data from manufacturing processes, analyzes it, and visualizes results for engineers and data scientists, while its engineering services cover process control, yield management, and failure analysis; revenue comes from software licensing and service fees. The company differentiates itself by its semiconductor-focused, integrated data-collection and analytics platform paired with specialized services delivered globally under a licensing-and-services model. Its goal is to help semiconductor customers raise yields, reduce waste, and improve overall manufacturing performance through data-driven insights.
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