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 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further.

About the Role

We're hiring an Engineering Recruitment Lead to join our Recruitment team based in London. This is not a traditional recruiting role. You will act as a strategic hiring leader embedded within engineering, responsible for delivering critical hires across robotics, AI, and hardware — at speed and quality.

You will own the end-to-end hiring strategy, build high-performance pipelines in niche domains, and continuously optimize how we attract and close top-tier talent in one of the most competitive markets globally.

What You'll Do

• Lead end-to-end recruitment for highly specialized roles across:

  • Humanoid robotics (controls, perception, deep learning, reinforcement learning and others)

  • Embedded systems, electronics, and mechanical engineering

  • AI/ML, autonomy, and robotics software

• Ensure roles are closed on time with strong candidate quality and high acceptance rates

• Partner closely with hiring managers to define requirements, calibrate profiles, and drive decisions

• Work on-site daily with engineering teams to deeply understand technical needs and culture

• Act as a trusted advisor to hiring managers, ensuring alignment on expectations and hiring bar

• Continuously improve interview processes, technical assessments, and decision-making frameworks

• Develop proactive sourcing strategies for hard-to-find, niche talent in physical AI and robotics

• Leverage your existing network across humanoid robotics / robotics ecosystem

• Build and maintain long-term relationships with passive candidates and industry experts

• Operate as a modern recruiter using AI tools, automation, and agents to increase efficiency and reach

• Utilize ATS systems and LinkedIn Recruiter as core tools, while going beyond them with creative sourcing approaches

• Experiment with new tools, workflows, and data-driven methods to improve hiring outcomes

• Own and track hiring funnel metrics (time-to-hire, conversion rates, pipeline quality)

• Identify bottlenecks in the hiring process and implement solutions quickly

• Provide regular, data-backed updates to leadership and hiring teams

• Conduct 1:1s with senior recruiters, mentoring and elevating hiring capabilities across the team

• Help define and scale best practices for technical recruiting in a deep-tech environment

• Contribute to building a high-performance talent function aligned with company growth

What We're Looking For

• Proven experience leading technical recruiting for complex engineering roles (hardware + software)

• Deep expertise and network within:

  • Humanoid robotics / robotics / physical AI ecosystem

• Strong understanding of engineering domains:

  • Robotics systems, embedded systems, AI/ML, autonomy

• Track record of closing high-impact roles in competitive markets

• Experience working closely with engineering stakeholders in fast-paced environments

• Hands-on experience with:

  • ATS platforms (e.g. Lever, Greenhouse, Ashby)

  • LinkedIn Recruiter and advanced sourcing techniques

• Strong adoption of AI tools, automation, and innovative sourcing strategies

• Data-driven mindset with ability to diagnose pipeline issues and optimize processes

What We Offer

• Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and 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.

• 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.