About 1X

We’re building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it’s not.

To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you’re inspired by this, you’ll thrive here. We’ve been at this since 2014 and we’re at the point where the hard problems are behind us and the hard work is in front of us.

NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We’re not demoing it - we’re shipping it. We’re excited to meet you, if this excites you.

If you’ve spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We’re scaling, we’re hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.

About the Team

The software team at 1X builds the cloud-native platform that connects our robots to the operators, customers, and systems that depend on them. We run a Go backend speaking to robots over WebSockets, a TypeScript full-stack frontend for internal ops and customer-facing portals, and Kubernetes/ECS infrastructure on AWS—with real-time video and telemetry, AI-assisted task planning, and full-stack observability all in scope. Our code is the operational layer for a fleet of humanoid robots in the real world, and reliability is not optional.

Your Charter

Own the full stack: Go backend, TypeScript/React frontend, and Kubernetes deployment that powers 1X's fleet operations platform, from the robot cloud protocol to the customer portals and internal tools that operators depend on every day. This is critical-path work: as 1X scales from hundreds to tens of thousands of robots, the real-time performance, reliability, and observability of this platform determines whether the business can operate and whether customers can trust their deployments. You will own features end-to-end, extend the robot protocol, and improve the systems that real robots run on.

Key Outcomes

• Own features end-to-end across the Go backend, TypeScript/React frontend, and Kubernetes deployment, shipping production-quality work across the full stack without handoffs

• Extend the robot cloud protocol and the operator tooling that depends on it, keeping pace with new hardware capabilities and the needs of a growing fleet

• Improve reliability and observability across services that operate real robots, instrumentation, structured logging, incident triage, and post-mortems that make the system measurably more stable over time

• Build internal and customer-facing platforms that bridge raw robot data to human-usable interfaces for fleet management, logistics, and service operations

Key Competencies

• True full-stack engineer equally fluent in Go backend services and TypeScript/React frontends; designs systems end-to-end, owns them in production, and never stops at the layer boundary

• Concurrency and real-time fluency comfortable with WebSockets at production scale: auth, reconnection, backpressure, and the operational realities of streaming telemetry and video from a robot fleet

• Infrastructure owner understands Kubernetes, CI/CD, and AWS well enough to deploy, debug, and improve the systems their code runs on without requiring a dedicated platform team

• Observability-first instruments code from the start, reads dashboards and traces fluently, and treats on-call as part of the engineering job, not someone else's problem

Minimum Requirements

• Strong architecture, concurrency, WebSocket services, and API-first development with OpenAPI/ogen

• Strong TypeScript in strict mode on Node.js, with production React experience using a modern full-stack framework and real-time state management

• Database experience with schema design, migrations (Goose/Drizzle), connection pooling (pgx), and query performance

• Kubernetes in production with deployments, services, secrets, rollout strategy and AWS fundamentals (ECS, EKS, RDS, S3)

Preferred Skills

• AI/LLM application development: OpenAI SDK, LangChain, prompt design, token accounting, and evals

• WebRTC or SFU experience, or strong willingness to ramp quickly on real-time video infrastructure

• 3D or robotics visualization or experience with ROS or robot middleware

• Experience supporting a fleet of physical devices in the field, including operational tooling for provisioning, monitoring, and incident response

Compensation Range

$175,000 - $225,000 + Equity

Benefits

• Comprehensive medical, dental, and vision coverage

• Generous paid time off, company holidays, and parental leave

• 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%)

• Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options

• Commuter benefits (transit and parking)

• Short-term and long-term disability, and life insurance

• Employee Assistance Program (EAP) for mental health, financial, and personal support

• Onsite snacks and catered lunches

Equal Opportunity Employer

1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.