Sr Manager, Software Engineer

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

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Youll 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 possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more.

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Overview

Applied Materials is seeking a Senior Manager Software Engineering to lead a team building intelligent AI-driven software platforms. This is a hands-on engineering leadership role: you will set technical direction drive strategic engineering initiatives and stay close enough to the code and architecture to make sound technical calls. You will own delivery of distributed data-intensive systems while pioneering agentic GenAI frameworks and LLM-based automation across the engineering organization.

The ideal candidate pairs a strong classical software engineering foundation with demonstrated real-world experience building agentic systems. We want a leader who has shipped agentic workflows into production and understands their failure modes.

Key responsibilities

• Lead a team of software engineers owning architecture code quality and delivery for distributed data-intensive systems.
• Set technical direction across the full stack Python JavaScript/TypeScript React front / .NET Core services REST API design and the underlying data architecture.
• Hold a high bar for engineering rigor through design reviews code reviews and well-reasoned architectural trade-offs.
• Architect and build agentic frameworks using GenAI multi-agent orchestration tool use memory and evaluation and take them from prototype to production.
• Automate software development and operational workflows using LLMs with clear judgment about where automation adds value and where it introduces risk.
• Establish the Agentic Development Lifecycle within the team: prompt and agent design evaluation harnesses guardrails observability and iterative improvement.
• Run strategic engineering initiatives end to end from problem framing and stakeholder alignment to execution and measurable outcomes.
• Communicate complex technical concepts clearly to engineering and non-engineering stakeholders including senior leadership.
• Partner with product data and platform teams to align roadmaps and unblock delivery.
• Mentor hire develop and retain strong engineers; build a culture of ownership and technical excellence.

Required qualifications

• 12 years of software engineering experience with 3 years leading or managing engineering teams.
• Strong demonstrable foundations in Python and JavaScript/TypeScript including React plus production experience / .NET Core.
• Deep experience designing and operating Full Stack Web based software solutions REST APIs distributed systems and scalable data architectures.
• Strong working knowledge of search engines (Elasticsearch) indexing query design and relevance tuning.
• Strong knowledge of cloud infrastructure on AWS and/or Azure including networking and application-layer concepts.
• Proven hands-on experience building agentic frameworks with GenAI not just calling an API but designing the agent architecture orchestration and evaluation.
• Strong understanding of automating software systems using LLMs including the limits and risks of doing so.
• Working command of the Agentic Development Lifecycle: prompt/agent design eval-driven development guardrails and observability.
• Track record of running strategic engineering initiatives with measurable business impact.
• Excellent written and verbal communication; able to influence across technical and executive audiences.

Preferred qualifications

• Experience in semiconductor manufacturing or other complex industrial/enterprise domains.
• Familiarity with agent frameworks (e.g. LangGraph AutoGen or equivalent) and LLM evaluation tooling.
• Experience with containerization and CI/CD for ML/LLM systems.
• Background in data engineering or ML systems at scale.

What success looks like

Within the first year you will have stood up a reliable observable agentic platform the broader engineering organization can build on; established the teams Agentic Development Lifecycle as a repeatable practice; and delivered at least one strategic initiative with measurable impact on engineering velocity or product capability.

Additional Information

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Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color national origin citizenship ancestry religion creed sex sexual orientation gender identity age disability veteran or military status or any other basis prohibited by law.