humanoid - Engineering Lead, Developer Productivity (AI & Agents)
Requirements
• Experience building and operating developer tooling or infrastructure used across engineering teams, such as build systems, CI/CD, test infrastructure, deployment pipelines, or internal platforms. • Strong software engineering skills and comfort working in large codebases or monorepos. • Practical experience with Linux, containers, and cloud infrastructure, plus working knowledge of Kubernetes • Hands-on experience using and integrating coding agents into real engineering workflows. You understand how context, tools, and evals affect reliability, latency, and cost, and can talk concretely about what worked and what didn’t. • Sound security judgment around workload isolation, identity, permissions, and credentials. You can design appropriate boundaries for agents accessing code, infrastructure, and company resources. • Experience building reliable automated tests or verification systems and diagnosing failures across code, tooling, and infrastructure. You have good judgment about what automated checks establish and where human review still matters. • Experience leading engineers while remaining hands-on. You can set technical direction, recruit a strong team, and turn an ambitious goal into systems that engineers use and trust.
Responsibilities
• Own the path from an agent task to a healthy deployed change, including acceptance criteria, execution, verification, merge, rollout, monitoring, and rollback. • Build secure, reproducible agent runtimes with task-scoped identity, short-lived credentials, bounded access, cost controls, and re-playable execution records. Proactively detect unauthorized agent activity across our compute clusters, whether internal or external. • Build the interfaces developers use to launch, monitor, and control agents, alongside tooling for agents to collaborate through shared memory, coordinated work, and appropriately authorized access to company resources. • Reduce the tokens and retries required for accepted work through better context assembly, model and tool routing, caching, task decomposition, and feedback. • Give agents fast access to builds, tests, simulation, replay, and hardware-in-the-loop, with acceptance criteria they cannot alter. • Work with engineering teams to make the codebase easier to navigate and verify through clear interfaces, strong invariants, reproducible environments, fast local checks, and well-documented implementation paths. • Recruit and lead the team while remaining hands-on. Measure success through cost per accepted change, human review time, escaped defects, and time from push to healthy on the robot.
Benefits
• 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.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT