Software Engineer - Workflow Authoring & Deployment at Humanoid (London, United Kingdom)
Humanoid· London, United Kingdom·
Role details
23 Days Annual Leave · 15 Days Paid Sick Leave · Paid Company Holidays · Fully Funded Private Healthcare · Equity · Pension Scheme With 8% Contribution · Free Daily Breakfast · Catered Lunch
Humanoid at a glance
Humanoid builds commercially scalable, safe humanoid robots to automate labor-intensive industrial tasks in warehousing, logistics, and manufacturing.
Designs and builds general-purpose humanoid robots (the HMND 01 platform) that automate physical industrial tasks like goods handling, picking and packing, and kitting, orchestrated by an in-house AI fleet framework called KinetIQ.
Approximately $30M self-funded by founder Artem Sokolov; a ~$200M Series A was in talks as of early 2026 (not closed) raised · latest: Series A (in talks, ~$200M, no valuation set) as of February 2026 · backed by Artem Sokolov (founder, sole shareholder)
Summary
Software Engineer building backend services and tooling to author, deploy, and manage robot workflows at scale. This full-stack role with a backend lean involves coordinating robot fleets, managing data infrastructure, and maintaining cloud infrastructure for mission-critical systems.
Job description
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.
About the role: 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.
What You’ll Do
- 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
What We’re Looking For
- 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
Nice To Have
- 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
What We Offer
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Why work at Humanoid
- High-growth environment: Company grew headcount by 139% in a single year, indicating rapid scaling and opportunity for career advancement. 65+ open roles suggest strong hiring momentum.
- Talent from top robotics firms: Team includes alumni from Boston Dynamics, Sanctuary AI, Dyson, Ocado Technology, Arrival, Wayve, and others — offering a deep learning and collaboration environment.
- Technical focus: Engineering and technical roles represent 38% of the workforce, with senior-level hires at 23% of the team. The company emphasizes hardware, AI, machine learning, and control systems.
- Mission-driven: Clear purpose to automate undesirable, unsafe, and repetitive work — appealing to candidates who want to make a tangible societal impact.
- Global presence: Offices in London (HQ), Cambridge (USA), and Burnaby (Canada), plus operations in 16 countries — offering potential for international mobility and remote collaboration.
- Innovation culture: Described as a place where engineers and researchers “move from demo to deployment” and “not just in the lab.” The CTO emphasizes building systems that perform in the real world from day one.
- Office/Hybrid policy: Not explicitly stated, but the company has physical offices in three countries and a distributed team across 16 nations — likely supports hybrid/remote with in-office collaboration for engineering roles.