Full Stack Engineer, Manufacturing Data Platform
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
Benefits
- Health, dental, and vision insurance
- 401(k) with company match
- Paid time off and holidays
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
