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 ( * 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

Created: 2026-04-02