Software Engineer - Workflow Authoring & Deployment

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor.

This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical.

• →

  Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform

• →

  Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation

• →

  Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics

• →

  Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why

• →

  Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting

• →

  Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production

• Strong backend engineering skills in Python, Go, or similar

• Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance)

• Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code

• Comfort working across the stack from frontend to backend

• Experience with observability and alerting in systems where failures have real operational consequences

• Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow

• Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context

• Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions

• Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language

• Experience integrating with third-party enterprise systems (WMS, ERP, or similar)

• Background in robotics or real-time systems where execution state and side-effects need to be managed carefully