Full Stack Engineer, Manufacturing Data Platform

Full Stack Engineer, Manufacturing Data Platform Hayward, CA (on-site) About 1X We build humanoid robots that work alongside people to solve labor shortages and create abundance. The Role Our Manufacturing Data Platform is the backbone of robot traceability - capturing every component, calibration, and telemetry reading from factory birth through the entire product lifecycle. We need a versatile engineer who can own this platform end-to-end. As a Full Stack Engineer on the Manufacturing Data Platform, you will be the technical backbone of our Industrial Data Platform (IDP) - owning everything from edge data ingestion to cloud APIs to technician-facing applications. You'll design database schemas, build real-time telemetry pipelines, implement secure authentication, and create intuitive interfaces for factory technicians and end users. This role requires someone who can context-switch between backend services, frontend applications, data architecture, and security implementation. This role is ideal for engineers who thrive on ownership and breadth - you'll touch every layer of the stack and see your work directly impact robot manufacturing quality. You Will Backend Development Design and build RESTful APIs and WebSocket services using FastAPI on GCP Cloud Run Implement recording mode orchestration: trigger self-checks, capture telemetry, manage session lifecycle Build configuration push/pull APIs with version control and rollback capability Create data pipelines for high-frequency telemetry ingestion (200Hz, 350KB/s per robot) Frontend Development Build Progressive Web App (PWA) for factory technicians: QR scanning, robot diagnostics, recording controls Create admin dashboards for fleet management, user administration, and audit log viewing Implement real-time telemetry visualization with WebSocket integration (<500ms latency) Design mobile-first interfaces optimized for factory floor use (large touch targets, high contrast) Data Architecture Design and optimize database schemas: Cloud SQL (PostgreSQL) for relational data, Bigtable for time-series telemetry Architect data storage strategy: immutable data (OTP), versioned calibration (EEPROM sync), time-series streaming Build the robot genealogy system linking components, calibration, and manufacturing events Implement data lifecycle management from EOL Data Fusion Station through product lifecycle Security & Infrastructure Implement OAuth 2.0 authentication using Google Identity Platform Design and enforce Role-Based Access Control (RBAC): Viewer, Technician, Engineer, Admin, End User Configure TLS/mTLS for edge-to-cloud communication Build comprehensive audit logging for compliance and traceability Manage infrastructure using Terraform and CI/CD pipelines with Cloud Build Integration & Edge Integrate with MQTT Sparkplug B for edge gateway communication via EMQX broker Design store-and-forward patterns for offline data buffering on edge gateways Build synchronization logic between local robot storage (EEPROM) and cloud databases Collaborate with Robot OS teams on telemetry schemas and command protocols