Machine Controls & Data Integration System Engineer, Additive Manufacturing

HADRIAN - MANUFACTURING THE FUTURE Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost. Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built. Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen. If you’re ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you’re exactly who we’re looking for. What You'll Do - Machine Connectivity Across the Fleet: Build and own the connectivity layer across the AM fleet — PC-based machine control systems, PLC-based subsystems, and vendor interfaces alike — including the log, file, and tag-level extraction required where no standard interface exists. - Canonical Data Model and Schema Governance: Own the schemas, tag dictionaries, naming conventions, units, and versioning that let one integration pattern scale across platforms and sites. Govern schema change so downstream consumers do not break. - Pipelines and Storage: Design, build, and operate the telemetry and build data pipelines — transport, stream processing, buffering, and persistence into relational and time-series storage — with the uptime, backfill, and data integrity guarantees that qualification evidence depends on. - Machine State Models and OPUS Integration: Own how a machine reports what it is doing, how work is dispatched to it, and how each build record ties to part, powder lot, machine, and operator for end-to-end traceability. - Requirements and Interface Baseline: Define the interface, control, and data requirements; flow them down to OEMs and to internal engineering; verify what is delivered against them; and hold the change-controlled interface control documents — state models, command semantics, telemetry dictionaries, alarm and error handling, and version history — so every integration is specified before it is built, reproducible across machines and sites, and enforceable with vendors as their platforms and firmware evolve. - Supplementary Instrumentation: Instrument what the OEM does not expose. Specify and integrate supplementary sensing, edge compute, and data acquisition where native machine data is insufficient for process monitoring or engineering investigation. - OT Network…