Overview

At PDF Solutions, we are at the forefront of revolutionizing the semiconductor industry. Ourcutting-edgetechnologies and data-driven solutions empower semiconductor manufacturers to achieve unprecedented levels of efficiency, quality, and innovation. By joining our team,you'llhave 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 alsooperatesworldwide in Canada, China, France, Germany, Italy, Japan, Korea, and Taiwan.

This is a specific rolewith inthe Manager, Software Engineering category.We are seekingthe manager to lead a forward deployment teamwho embed directly with semiconductor manufacturing and fabless customers to design, deploy, and iterate onourAI-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 chance for aAI and/orsemiconductor professional who enjoys solving complex technical problems, working directly with customers, and developing high-performing engineering teams.

Responsibilities

- 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 ofcustomapplication buildson 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,fabdata correlation) into scoped application architectures using LLM-based analytics, agent frameworks, and existing platform APIs

- Partner with Product and core Engineering toidentifywhich 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

📌 Manager, Software Engineering (Vancouver)
🏢 Confidential
📍 Vancouver