Own what the robot sees: detection, tracking, spatial relations and scene understanding on the sovereign DeepVision tower.
Key responsibilities:
- Train and evaluate perception heads on the frozen DeepVision backbone.
- Build and curate on-robot perception datasets from real deployments.
- Own perception latency and accuracy budgets on the on-board compute.
- Integrate the scene graph with the world model and the control stack.
Requirements:
Computer vision in production; PyTorch; detection, tracking and segmentation; deploying models to constrained on-board hardware; dataset curation discipline.
Salary:
Salary on application
The Manchester factory comes online Q1 2027. Roles are recruited ahead of that date, with start dates agreed individually.
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