Fellow - AI Systems Architect for Product Operations to define the next generation of engineering and business operations. You will lead these operations, guided by artificial intelligence across the semiconductor lifecycle.
This highly transparent technical leadership role will develop and implement large-scale autonomous AI systems spanning pre-silicon build, verification, Product & Test Engineering (PETE), Quality, Reliability, Product Operations, and Supply Chain Management. The successful candidate will drive the development of autonomous engineering workflows that accelerate product development, improve quality, increase operational efficiency, and gain institutional knowledge at scale.
The ideal candidate combines deep semiconductor expertise with hands-on experience building and deploying production grade Multi Agentic AI systems capable of transforming complex engineering workflows.
Responsibilities - Define and execute ARM's long-term vision and strategy for Agentic AI across engineering and product operations.
- Architect and deploy enterprise-scale Multi Agentic AI platforms applying LLMs, SLMs, RAG, Knowledge Graphs, MCP frameworks, and modern agent orchestration technologies.
- Drive AI-enabled transformation across the complete semiconductor lifecycle, including:
- Architecture & Design
- Functional Verification & Emulation
- DFT & Test Content Development
- Product & Test Engineering
- ATE Program Development
- Yield Learning & Diagnosis
- Reliability & Quality Engineering
- Failure Analysis
- Product Operations
- Supply Chain Management
- Identify and prioritize high-impact AI automation opportunities that deliver measurable improvements in productivity, quality, cycle time, and operational efficiency.
- Establish enterprise AI governance, security, deployment, and adoption guidelines.
- Collaborate across engineering, operations, IT, and executive leadership teams to drive company-wide AI initiatives.
- Mentor engineers and technical leaders while fostering a culture of innovation and AI excellence.
- Represent ARM externally through industry conferences, publications, patents, and strategic partnerships.
Required Skills and Experience - Master's or Ph.D. in fields such as Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related technical area.
- Minimum 20 years of semiconductor proven experience.
- Hands-on experience developing and deploying Multi-Agent AI systems in production environments.
- Proven technical leadership across multiple areas including:
- Semiconductor Design & Verification
- Design-for-Test (DFT)
- Silicon Validation
- Product & Test Engineering
- Yield Engineering
- Quality & Reliability Engineering
- Failure Analysis
- Manufacturing & New Product Introduction (NPI)
- Strong expertise in:
- Agentic AI Architectures
- Generative AI
- Large Language Models (LLMs)
- Small Language Models (SLMs)
- Retrieval-Augmented Generation (RAG)
- Knowledge Graphs
- Machine Learning & Deep Learning
- AI Workflow Orchestration Frameworks
- Experience building enterprise automation platforms and integrating with engineering, manufacturing, and business systems.
- Outstanding communication, technical leadership, and collaborator management skills.
Preferred Qualifications - Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or related field, or an equivalent level of experience.
- Three or more sophisticated AI/ML certifications in areas such as:
- Agentic AI
- Generative AI
- Machine Learning
- Deep Learning
- RAG Systems
- Knowledge Graphs
- AI Engineering
- Experience building AI-enabled automation solutions for semiconductor design, verification, DFT, product engineering, quality, or manufacturing workflows.
- Experience with LangGraph, LangChain, AutoGen, CrewAI, MCP, or similar multi-agent frameworks.
- Experience integrating AI systems with EDA tools and engineering data ecosystems.
- Experience in one or more pre-silicon fields including RTL Build, Functional Verification, Emulation, FPGA Prototyping, Physical Compose, Timing Closure, Low-Power Develop, or SoC Integration.
- Publications, patents, or invention disclosures in AI, coordinated circuit development, validation, test, quality, reliability, or manufacturing.
- Demonstrated success leading enterprise-wide technology transformation initiatives.
- Experience deploying secure on-premise AI platforms for engineering applications.
Salary Range: $308,600-$417,500 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Accommodations at ArmAt Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [redacted] . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at ArmArm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
