1X

1X is a leader in humanoid robotics, creating humanoid robots for the home as a first step in developing general purpose robots 1X’s mission is to create an abundance of labor through safe,…

1x.tech

1X

1X is a leader in humanoid robotics, creating humanoid robots for the home as a first step in developing general purpose robots 1X’s mission is to create an abundance of labor through safe,…

1x.tech

HQUS

Team Size996

Open JobsUnknown

Total Funding-

Latest FundraiseUnknown

TL;DR

Core proposition: Develops humanoid robots and AI (home-first path to general-purpose robots)

Notable products / research: NEO Gamma and 1X World Model (technical whitepaper)

Founding / origin: Originally Halodi Robotics; CEO Bernt Øyvind Børnich; co‑founder listed as Phuong Nguyen

Recent funding: Raised a $100M Series B; prior A2 round led by the OpenAI Startup Fund

Headcount (approx.): 996 employees (profile snapshot)

Company Overview

Problem Domain

Robotics engineering focused on humanoid robots and AI systems for domestic and broader labor applications.

Founded

2015

Industry

Robotics Engineering

Funding Track Record

Series A2

Series A2 led by the OpenAI Startup Fund (reported $23.5M)

Participation reported from Tiger Global and Norway-based investors

Series B- 2024-01-11

$100M

Reported participation from EQT Ventures and other global investors; reported additional fundraising activity increased disclosed proceeds beyond $100M by 2025

Investor Signal

“Participation from prominent investors including the OpenAI Startup Fund, Tiger Global, and EQT Ventures”

Founders

What we do

Join the Team

Full Stack Engineer

On-SiteSan Francisco Bay Area, US

On-Site • San Francisco Bay Area, US

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Who you are

This role requires someone who can context-switch between backend services, frontend applications, data architecture, and security implementation
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
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)

What the job involves

Benefits

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

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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 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

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)

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

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