Senior Perception Engineer - Spatial Intelligence

Humanoid; Greater London; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

23 days of annual leave

Fully funded private healthcare

Pension scheme with 8% total contribution

Free daily breakfast and catered lunch

Collaboration with top-tier engineers

Freedom to influence the product

Job summary

Humanoid is seeking a Senior Perception Engineer - Spatial Intelligence to join their London team. This role involves architecting a spatial intelligence layer for sophisticated humanoid robots, requiring exceptional software engineering skills and a strong background in 3D scene understanding. The position offers 23 days of annual leave, fully funded private healthcare, and the opportunity to work with top-tier experts in AI and robotics.

Qualifications

• Proven track record of shipping complex ML systems into production.
• Experience in designing efficient spatial data structures.
• Hands-on experience building and deploying large-scale ML systems.

Responsibilities

• Architect the spatial intelligence layer for robot navigation.
• Develop advanced 3D spatial reasoning capabilities for robots.
• Own perception lifecycle by training multimodal networks.

Skills

Software engineering skills

3D scene understanding

Machine learning for vision

PyTorch proficiency

Individual contributor

Fast-paced environment adaptability

Job description

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next‑gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.

We are looking for the Senior Perception Engineer - Spatial Intelligence to join our team based in London, UK.

What You'll Do

• Architect the spatial intelligence layer that unifies 3D geometry with semantic scene understanding to ensure safe and efficient navigation and locomotion in complex environments
• Develop advanced 3D spatial reasoning capabilities that provide our robots with long-term persistent spatial memory and a deep contextual awareness of their surroundings.
• Own the entire perception lifecycle by training large-scale multimodal networks and deploying and integrating them for ultra‑low latency performance on edge hardware
• Bridge the gap between conceptual research and physical reality by implementing state‑of‑the‑art 3D representations that track and interpret the environment state
• Collaborate with cross‑functional teams to bridge the gap between large‑scale model training and reliable robot integration.
• Stay ahead of the field, rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap

What We're Looking For

• Exceptional software engineering skills with a proven track record of shipping complex ML systems into production.
• Strong background in 3D scene understanding and the design of efficient spatial data structures.
• Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, transformers, or multi‑modal architectures).
• Proficiency in PyTorch and hands‑on experience building, fine‑tuning, and deploying large‑scale ML systems.
• High‑impact individual contributor capable of taking projects from conceptual research to high‑performance robot code.
• Comfortable working in a fast‑moving, research‑driven environment with evolving models, data, and tools.

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.