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Keystone AI

Enterprise AI for forecasting and optimization

Hardware Consultant - Semiconductors

Risk, Regulatory & Legal AdvisoryConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Bachelor's degree in Electrical Engineering plus an MBA, or a PhD in Electrical Engineering, Materials Science, or a related discipline.
  • At least 5 years of post-graduate experience, ideally in consulting, engineering, or strategy roles.
  • Strong analytical skills and a solid understanding of hardware systems and business drivers.
  • Excellent verbal and written communication skills.
  • Leadership experience with cross-functional teams.
  • Ability to manage multiple complex workstreams in parallel.

Responsibilities

  • Lead technical analysis in litigation, regulatory, and strategy matters involving semiconductor technologies, including circuit design, chip architecture, semiconductor process nodes, and hardware systems.
  • Translate complex technical concepts into clear, persuasive narratives for legal proceedings, economic reports, and strategic recommendations.
  • Contribute to case strategy by identifying core technical arguments, relevant market dynamics, and potential competitive impacts.
  • Support business development, including scoping technical components of new engagements and participating in proposal development.

About the Company

Keystone AI

Enterprise AI for forecasting and optimization

Keystone.AI commercializes the DEEP Enterprise AI platform that places neural-network-based prediction and decision systems at the core of large enterprises' operating models to optimize supply chains and free cash flow. It works by transforming ERP data (orders, shipments, invoices) into fine-grained event streams using its RAIN encoding, then the DEEP platform uses these streams with its Foundation Forecasting model to predict demand and optimize production, inventory, fulfillment, and capacity planning. It differentiates itself by embedding DEEP inside clients' existing cloud environments (AWS/Azure/GCP) and ERP/planning ecosystems (SAP, Oracle, Kinaxis, o9, OMP) and by acting as a scientific predictor and decision engine built on Keystone's methodological lineage. Its goal is to become the enterprise's central science-based predictor and decision tool that reduces forecast errors, improves operational efficiency, and enhances free cash flow for global supply chains.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Bellevue, WA
Founded
2003

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