Senior Spatial Intelligence Autonomy Engineer

Humanoid

United Kingdom

On-site

GBP 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Equity
Paid time off
Health care
Pension
Free meals in-office
Frontier work
Leadership access

Job summary

Humanoid is seeking a Senior/Staff Autonomy Engineer focused on Spatial Intelligence to bridge 3D geometry with next-generation AI. You will lead design and development of state estimation, mapping, and localisation loops, integrating large models into our core navigation stack for robust spatial awareness in real-world deployments.

You will collaborate with cross-functional teams to push the embodied AI roadmap, evaluate new architectures, and deliver high-performance robot software on edge

Qualifications

  • Shipping complex ML systems into production.
  • Strong background in 3D scene understanding and efficient spatial data structures.
  • Experience in vision or embodied AI with large models (VLMs/transformers).
  • Proficient in PyTorch and deploying large-scale ML systems.
  • High-impact individual contributor from research to production.
  • Comfortable in a fast-moving, research-driven environment with evolving models.

Responsibilities

  • Architect spatial intelligence combining 3D geometry with semantic scene understanding for safe navigation.
  • Develop long-term spatial memory and contextual awareness for robots.
  • Own perception lifecycle by training multimodal networks and edge deployment.
  • Implement 3D representations to track and interpret environment state.
  • Collaborate with cross-functional teams to bridge model training and robot integration.
  • Evaluate new models and datasets to steer embodied AI roadmap.

Skills

Software engineering
3D scene understanding
ML for vision
PyTorch
Edge deployment
Independent contributor

Job description

Humanoid is seeking a Senior/Staff Autonomy Engineer focused on Spatial Intelligence to bridge 3D geometry with next-generation AI. You will lead design and development of state estimation, mapping, and localisation loops, integrating large models into our core navigation stack for robust spatial awareness in real-world deployments.

You will collaborate with cross-functional teams to push the embodied AI roadmap, evaluate new architectures, and deliver high-performance robot software on edge

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