Software Engineering Manager

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Location:
Dublin,IRL

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

About the Role

Applied Materials is seeking a hands-on Software Engineering Manager to lead software delivery within the Plasma Diagnostics Center of Excellence (CoE). The CoE develops differentiated, software-enabled, plasma diagnostics that directly support Applied's future technology nodes and product portfolio.

This role exists to materially increase the delivery speed, reliability, and scalability of the software team by providing architectural leadership, establishing robust development systems, leveraging modern tools and techniques, and growing the team's technical capability.

• Provide hands-on technical leadership, deep-diving as needed to resolve architectural, reliability, or system-level issues.
• Define and drive software architecture for the diagnostics product portfolio, including embedded and edge-based platforms and integration into Applied tools.
• Translate ambiguous or loosely defined requirements into clear, scalable, and maintainable software designs.
• Accelerate feature release by establishing robust software systems, including CI/CD, automated testing, coding standards, and architectural documentation.
• Cross-disciplinary partner for algorithm development and signal processing.

• Champion effective use of AI and ML across the software lifecycle.
• Leverage LLM-based tools to improve productivity, insight, and delivery speed.
• Design and implement ML models for inference on edge and embedded systems.
• Define guardrails to ensure AI and ML solutions add value, are robust, interpretable, scalable, and production appropriate.

• Accelerate software delivery while improving robustness, determinism, and long-term maintainability.
• Drive a shift from ad hoc implementation toward design, architect, then execute, with explicit trade-offs and clear ownership.
• Build end-to-end accountability so engineers own solutions from requirements distillation through deployment and sustainment.
• Act as the escalation point for complex software issues during product development and qualification.

• Lead, coach, and develop a small software team, setting clear expectations around technical rigor, accountability, and ownership.
• Stabilize execution, raise quality and delivery discipline, and identify capability gaps required for future growth.
• Influence contributors beyond direct reports by defining consistent software standards and ways of working across the CoE and aligned CoEs.

• BSc in Computer Science, Software/System Engineering, or equivalent practical experience.
• 7+ years of professional software engineering experience, including technical leadership of complex systems.
• Proven ability to architect solutions across embedded, real-time, and edge-based software environments.
• Experience driving improvements in delivery through architecture, tooling, and development processes.
• Comfortable operating hands-on when required.

• Experience working at the intersection of software, hardware, physics, and applied algorithms.
• Prior technical leadership of small teams; formal people-management experience is a plus.