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