Product Engineer responsible for developing and optimizing semiconductor deposition processes and equipment.
Responsibilities
Conduct process engineering research, development, and evaluation in support of Lam’s cutting‑edge semiconductor equipment.
Review and enhance processing techniques and methods applied in the manufacture and fabrication of products.
Work with vendors to develop and optimize materials used in our deposition equipment.
Develop and sustain new processes and process improvements to reduce production costs and increase yields.
Compile and analyze test data to establish next steps in process development and determine appropriate limits and variables for process specifications.
Requirements
PhD in Materials Science, Chemical Engineering, Chemistry or Physics
Nice to have: Background in Atomic Layer Deposition (ALD)
Nice to have: Background in Chemical Vapor Deposition (CVD)
Nice to have: Background in Plasma Enhanced Chemical Vapor Deposition (PECVD)
Nice to have: Background in Physical Vapor Deposition (PVD)
Apply advanced data science, machine learning, and Generative AI techniques to solve complex business problems and enable AI-powered capabilities across the enterprise.
Compensation
Base Pay Range
$85,000.00 - $150,000.00
Responsibilities
Analyze large and complex datasets using statistical, machine learning, and advanced analytical techniques to identify patterns, generate insights, and solve business problems.
Design, develop, evaluate, and optimize machine learning models using appropriate statistical and ML methodologies, including feature engineering, model validation, performance testing, and ongoing monitoring.
Develop and evaluate Generative AI solutions using foundation models, including prompt engineering, retrieval-augmented generation (RAG), embeddings, semantic search, and agentic AI techniques where appropriate.
Develop rigorous evaluation frameworks and experimentation approaches to measure model quality, accuracy, relevance, safety, and business impact.
Acquire, cleanse, transform, and integrate structured and unstructured data from multiple sources to support analytical modeling and AI solutions.
Requirements
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or equivalent
Nice to have: Master's degree in relevant quantitative discipline
Skills
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Develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes.
Compensation
The expected salary range for this position is 128,627 - 136,300. This role may also be eligible for annual short-term incentive compensation.
Responsibilities
Implement integrations across a multi-cloud solution (AWS, Azure, and On-prem) spanning multiple applications and integration technologies
Actively participate in all phases of the software development lifecycle (SDLC)
Analyze, design and develop features for new and existing applications
Implement and ensure adoption of best practices (design principles, logging practices, unit, and test automation)
Support issue triaging on existing applications
Requirements
Bachelor’s degree in Computer Science, Computer Engineering or related field
Master’s degree in Computer Science, Computer Engineering or related field
Lead and own the entire accounting function across the US and UK, driving close, audit, and treasury operations while building AI‑driven workflows and system integrations.
Compensation
The expected compensation for this role is up to $170,000 annually, plus eligibility for Capstone's annual bonus pool.
Responsibilities
Own end‑to‑end month‑end close across US and UK
Manage audit and statutory compliance for both entities
Maintain general ledger integrity under US GAAP and UK requirements
Own revenue recognition, invoicing, AR and AP cycles
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