humanoid - Software Engineer - Workflow Authoring & Deployment
Requirements
• 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
Responsibilities
• 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
Benefits
• Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. • Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. • Equity included–we believe builders should share in what they build. • Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. • Free daily breakfast, catered lunch, and snacks in‑office. • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. • Freedom to influence the product and own key initiatives.
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