Humanoid · Robotics

Senior Autonomy Engineer - Spatial Intelligence

  • London (On‑site)
  • Full-time

Still open on Humanoid's site · checked 5 hours ago

Level
Senior
Posted

Senior Autonomy Engineer - Spatial Intelligence

Humanoid

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What you'll do

As written by Humanoid · Read the original

About the Role

We're hiring a Senior Autonomy Engineer focused on Spatial Intelligence to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments.

  • 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.

Requirements

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.

Skills

Stack

  • PyTorch

Working languages

English

Salary & benefits

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.

Company

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