8 дней назад
Senior/Staff Autonomy Engineer (Spatial Intelligence)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior/Staff Autonomy Engineer (Spatial Intelligence) (Robotics/AI): Designing spatial intelligence for humanoid robots by combining 3D geometry, semantic scene understanding, persistent mapping, and localisation with modern machine learning, with an accent on reliable navigation and locomotion in complex real-world environments. Focus on training and deploying multimodal models on edge hardware, implementing advanced 3D representations, and integrating high-performance perception systems into production robot code.
Location: London, UK; on-site
Company
Builds commercially scalable and safe robots for real industrial environments, including the HMND-01 platform.
What you will do
- Architect the spatial intelligence layer combining 3D geometry and semantic scene understanding for safe navigation and locomotion.
- Develop 3D spatial reasoning, persistent spatial memory, state estimation, mapping, and localisation capabilities.
- Own the perception lifecycle, from training large-scale multimodal networks to deploying them on edge hardware with ultra-low latency.
- Implement state-of-the-art 3D representations that track and interpret the environment.
- Collaborate across research, engineering, and robotics teams to integrate models into reliable robot systems.
- Evaluate new model architectures, benchmarks, and datasets for the embodied AI roadmap.
Requirements
- Exceptional software engineering skills and a record of shipping complex machine learning systems into production.
- Strong experience with 3D scene understanding and efficient spatial data structures.
- Deep experience in machine learning for vision or embodied AI, including large models such as VLMs, transformers, or multimodal architectures.
- Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale machine learning systems.
- Ability to take projects from conceptual research through to high-performance robot code.
- Comfort working in a fast-moving, research-driven environment with evolving models, data, and tools.
Culture & Benefits
- Work on robotics and AI at the frontier of real-world deployment.
- Collaborate with engineers, researchers, and product experts on the next generation of robots.
- Direct access to founding leadership and ownership of key product initiatives.
- Competitive equity through stock options.
- 30+ paid days off, including annual leave, UK bank holidays, and company closure days.
- Private healthcare, an 8% total pension contribution, and catered meals and snacks in the office.
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