Full Stack Engineer, Manufacturing Data Platform

1X Technologies AS•Hayward, CA

6d•Onsite

About The Position

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.

Requirements

5+ years of software engineering experience spanning backend and frontend development
Strong proficiency in Python (FastAPI, SQLAlchemy) and TypeScript (React, Next.js)
Experience with cloud platforms (GCP preferred): Cloud Run, Cloud SQL, Pub/Sub, BigQuery
Solid understanding of database design: relational modeling, time-series databases, query optimization
Experience with real-time systems: WebSockets, message queues, or streaming pipelines
Understanding of authentication and authorization: OAuth 2.0, JWT, RBAC implementation
Experience with infrastructure-as-code (Terraform) and CI/CD pipelines
Ability to work independently and own projects end-to-end

Nice To Haves

Experience with MQTT, Sparkplug B, or industrial IoT protocols
Background in manufacturing, robotics, or hardware data systems
Experience with Progressive Web Apps (PWAs) and offline-first design
Familiarity with time-series databases (Bigtable, InfluxDB, TimescaleDB)
Experience with data visualization libraries (D3.js, Recharts, ECharts)
Understanding of edge computing: NVIDIA Jetson, industrial gateways
Experience with 3D visualization (Three.js) for robot status monitoring
Security certifications or experience with compliance frameworks (SOC 2)

Responsibilities

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