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Keystone AI

Enterprise AI for forecasting and optimization

Investigations Engineer - Hardware IP

Hardware EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Three to five years of experience working as a hardware consultant, circuit design engineer, or electrical or software engineer.
  • Skill in programming languages, hardware description languages, databases, and embedded system platforms, including Java, C++, C, C#, Python, PHP, SQL, MySQL, VHDL, Verilog, and FPGA.
  • Understanding of electrical engineering concepts, including circuit design and analysis, semiconductor fabrication processes, analog and digital electronics, power systems, signal processing, embedded systems, PCB design, and hardware-software integration.
  • Understanding of computer science concepts, including data structures, architecture design, object-oriented, functional, and declarative programming paradigms, algorithms, distributed computing, concurrency, computational complexity, database systems, networking, and compilers.
  • Strong written and verbal communication skills.
  • Capacity to work in a fast-paced, high-stakes environment.
  • Bachelor’s degree in Computer Science, Electrical Engineering, or Materials Science.

Responsibilities

  • Analyze hardware and software systems and present summary findings to clients.
  • Assess the originality, similarity, and differences between multiple hardware and software systems.
  • Reverse engineer software applications and review semiconductor teardown reports to analyze key features and functionalities.
  • Evaluate the complexity and value of software and hardware developed.
  • Draft documents describing the functionality and behavior of hardware and software systems against legal claims.
  • Develop and productize tools to make analyses more efficient and scalable.

Desired Qualifications

  • A Master’s degree.

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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