Investigations Engineer - Hardware IP
About the job
- Have 3–5 years of experience working as a hardware consultant, circuit design engineer, or electrical or software engineer.
- Be skilled in programming languages, hardware description languages, databases, and embedded system platforms, including Java, C++, C, C#, Python, PHP, SQL, MySQL, VHDL, Verilog, and FPGA.
- Have a deep 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.
- Have a deep 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.
- Have exceptional written and verbal communication skills.
- Be able to work in a fast-paced, high-stakes environment.
- Hold a bachelor's degree in Computer Science, Electrical Engineering, or Materials Science.
- 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.
- Collaborate with lawyers, academics, and technology leaders to analyze complex technical systems, including source code, hardware designs, and circuitry, in high-stakes legal and business matters such as patent litigation, trade secret disputes, and mergers and acquisitions.
- A master's degree is a plus.
- Have a passion to learn, grow, and help improve the business.
About the company
Keystone.AI commercializes the DEEP Enterprise AI platform, which uses neural networks to predict outcomes and support decisions in large enterprises. It converts ERP data (orders, shipments, invoices) into fine-grained event streams with its RAIN encoding, and the DEEP platform uses these streams to forecast demand and optimize planning such as SKU-level production, inventory, fulfillment, and capacity. The Foundation Forecasting model has outperformed common baselines on real manufacturer data and DEEP is deployed inside clients’ AWS, Azure, or GCP environments, integrating with ERP and planning systems like SAP, Oracle, Kinaxis, o9, and OMP. Its goal is to be the enterprise’s central science-based predictor and decision tool to reduce forecast errors, optimize operations, and improve free cash flow.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Bellevue, Washington
Founded
2003
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Simplify's Take
What believers are saying
- June 2026 materials claim early integrations cut inventory 10–30%.
- Keystone.ai says it partners with food, industrial, automotive, and pharma manufacturers.
- Hiring across Boston, Bellevue, London, and New York signals active expansion.
What critics are saying
- Keystone discloses no customer names, so proof trails remain thin by September 2026.
- January 2026 spinout leaves Keystone AI dependent on parent-era IP and relationships.
- If pilots fail to cut inventory, manufacturers cancel renewals and the company stalls.
What makes Keystone AI unique
- Audax backed the January 2026 spinout, giving Keystone AI immediate enterprise credibility.
- DEEP layers atop ERP and planning systems, avoiding rip-and-replace implementations.
- Foundation Forecasting beat open-source and baseline models on manufacturer data.
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Benefits
- Health Insurance
- 401(k) Retirement Plan
- Remote Work Options
- Hybrid Work Options
- Flexible Work Hours
- Paid Vacation
- Paid Holidays
- Wellness Program
- Mental Health Support
- Professional Development Budget
- Conference Attendance Budget
- Stock Options