Agentic AI Systems Engineer
Santa Clara County, CA - USA
Job Summary
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
Salary:
$152000.00 - $208500.00Location:
Santa ClaraCAYoull 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.
At Applied Materials we care about the health and wellbeing of our employees. Were 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.
As a Software Engineer at Applied Materials youll dive deep into ground-breaking technologieslike machine learning and AIto craft novel software solutions that solve our customers high-value problems. Our Software Engineers are responsible for designing prototyping developing and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. Youll develop software documentation and test procedures troubleshoot software problems and communicate with internal customers to understand project requirements. As part of our team youll contribute your expertise in intricate systems deciphering code and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors.Who We Are
Applied Materials is the global leader in materials engineering solutions used to producevirtually everynew chip and advanced display in the world. We design build and servicecutting-edgeequipment 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 thatliterally connectour world like AI and IoT. If you want to workbeyond thecutting-edge continuously pushing the boundaries ofscience and engineering to make possiblethe next generations of technology join us to Make Possiblea Better Future.
At Applied we prioritize your well-being and encourage you to bring your best self to work. Your happiness health and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole 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 aboutourBenefits.
The Agentic AI Systems Engineer is responsible for building the agentic infrastructure that enables next generation of GenAI applications for Applied Products. The role bridges AI software infrastructure and domain engineering to ensure that agentic systems are secure deterministic and drive velocity and productivity for our products.
What You Will Build
- Skill Pack Framework
Architect and ship the end-to-end skill framework including authoring versioning distribution and runtime loading across Java Python C and web-based codebases. Skills are the coredifferentiatorencapsulatedexpertise that travels with the agent. - Multi-Agent Runtime
Design and implement a multi-agent execution environment with persistent background agents swarm coordination and cross-agent context sharing. Enable agents to operate continuously and in parallel not as one-shot invocations. - Agent-Aware Code Intelligence
Develop deep code understanding systems such as semantic code search dependency-aware context modeling and structural codebase analysis. Move beyond text-based retrieval toward true program-level reasoning.
Key Responsibilities:
- Architect design and implement the agent runtime and orchestration platform that enables AI assisted development workflows across Applied products.
- Act as a bridge between AI research capabilities and real production software needs translating emerging agentic patterns into deployable infrastructure.
- Own the end-to-end lifecycle of agentic systems define core abstractions for agents tools memory planning validation and execution ensuring reuse and consistency across teams.
- Partner with teams and develop the MCP platform unifying code documentation and developer lifecycle MCPs into a single dependable context infrastructure.
- Design mechanisms for secure tool access API allow listing and controlled execution against internal systems.
- Establish evaluation frameworks to track correctness latency cost safety events and human override frequency. Build instrumentation for logging metrics and tracing of agent behavior across sessions and workflows.
- Provide technical leadership and mentorship to engineering teams adopting agent based workflows.
Required Skills & Experience
- Strong system level thinking with the ability to design end-to-end architectures spanning agents tools memory governance and observability.
- Experience designing agent runtimes or orchestration layers (not just using frameworks).
- Solid system design expertise for highly reliable observable developer-facing services and agentic systems.
- Strong proficiency in at least one major programming language (e.g. Java Python C) with hands-on experience integrating AI/ML models into developer workflows.
- Proven experience building and operating developer tooling or platform infrastructure (SDKs CLIs APIs runtimes) in large-scale engineering environments.
- 7 years of industry relevant experience
Nice-to-Have
- Experience with advanced agentic patterns (multiagent workflows planner/critic loops).
- Hands on exposure to on prem LLM deployment and optimization.
- Practical knowledge of RAG and vector search systems for grounding AI outputs
- Background in security first or high reliability software environments
Who We Are
Applied Materials is the global leader in materials engineering solutions used to producevirtually everynew chip and advanced display in the world. We design build and servicecutting-edgeequipment 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 thatliterally connectour world like AI and IoT. If you want to workbeyond thecutting-edge continuously pushing the boundaries ofscience and engineering to make possiblethe next generations of technology join us to Make Possiblea Better Future.
At Applied we prioritize your well-being and encourage you to bring your best self to work. Your happiness health and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole 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 aboutourBenefits.
The Agentic AI Systems Engineer is responsible for building the agentic infrastructure that enables next generation of GenAI applications for Applied Products. The role bridges AI software infrastructure and domain engineering to ensure that agentic systems are secure deterministic and drive velocity and productivity for our products.
What You Will Build
- Skill Pack Framework
Architect and ship the end-to-end skill framework including authoring versioning distribution and runtime loading across Java Python C and web-based codebases. Skills are the coredifferentiatorencapsulatedexpertise that travels with the agent. - Multi-Agent Runtime
Design and implement a multi-agent execution environment with persistent background agents swarm coordination and cross-agent context sharing. Enable agents to operate continuously and in parallel not as one-shot invocations. - Agent-Aware Code Intelligence
Develop deep code understanding systems such as semantic code search dependency-aware context modeling and structural codebase analysis. Move beyond text-based retrieval toward true program-level reasoning.
Key Responsibilities:
- Architect design and implement the agent runtime and orchestration platform that enables AI assisted development workflows across Applied products.
- Act as a bridge between AI research capabilities and real production software needs translating emerging agentic patterns into deployable infrastructure.
- Own the end-to-end lifecycle of agentic systems define core abstractions for agents tools memory planning validation and execution ensuring reuse and consistency across teams.
- Partner with teams and develop the MCP platform unifying code documentation and developer lifecycle MCPs into a single dependable context infrastructure.
- Design mechanisms for secure tool access API allow listing and controlled execution against internal systems.
- Establish evaluation frameworks to track correctness latency cost safety events and human override frequency. Build instrumentation for logging metrics and tracing of agent behavior across sessions and workflows.
- Provide technical leadership and mentorship to engineering teams adopting agent based workflows.
Required Skills & Experience
- Strong system level thinking with the ability to design end-to-end architectures spanning agents tools memory governance and observability.
- Experience designing agent runtimes or orchestration layers (not just using frameworks).
- Solid system design expertise for highly reliable observable developer-facing services and agentic systems.
- Strong proficiency in at least one major programming language (e.g. Java Python C) with hands-on experience integrating AI/ML models into developer workflows.
- Proven experience building and operating developer tooling or platform infrastructure (SDKs CLIs APIs runtimes) in large-scale engineering environments.
- 7 years of industry relevant experience
Nice-to-Have
- Experience with advanced agentic patterns (multiagent workflows planner/critic loops).
- Hands on exposure to on prem LLM deployment and optimization.
- Practical knowledge of RAG and vector search systems for grounding AI outputs
- Background in security first or high reliability software environments
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes 10% of the TimeRelocation Eligible:
YesThe salary offered to a selected candidate will be based on multiple factors including location hire grade job-related knowledge skills experience and with consideration of internal equity of our current team addition to a comprehensive benefits package candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program as applicable.
For all sales roles the posted salary range is the Target Total Cash (TTC) range for the role which is the sum of base salary and target bonus amount at 100% goal achievement.
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.
Required Experience:
Unclear Seniority
About Company
Applied Materials, Inc. is the global leader in materials engineering solutions for the semiconductor, flat panel display and solar photovoltaic (PV) industries.