Perception Engineer (MOTHER DeepVision)
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.
Where you would work
The UK humanoid lab and assembly line: MOTHER EXO robotics design, build and test, coming online Q1 2027 and targeting 1,000 robots a year on a sovereign supply chain.
MSAI Manchester, Manchester, England
The Manchester factory comes online Q1 2027. Roles are recruited ahead of that date, with start dates agreed individually.
How we hire
- 01Application. Submit your CV and a covering note against the specific role.
- 02Screening. We review applications and shortlist against the role requirements.
- 03Interview invitation. Shortlisted candidates are invited to interview; the date is set with each individual submission.
- 04Interview. Interviews are held in person at MSAI Manchester, Manchester.
- 05Technical / practical. Where relevant to engineering roles, a short technical or practical assessment.
- 06Offer. Successful candidates receive an offer, subject to references and checks.
- 07Onboarding. Pre-employment checks - including security vetting for relevant roles - and an agreed start date.
Interviews are held at MSAI Manchester, Manchester. View on map. Please bring photo ID and any relevant certifications.
- role
- Perception Engineer (MOTHER DeepVision)
- site
- MSAI Manchester
- location
- Manchester
- discipline
- AI & autonomy
- contract
- permanent
- salary
- Salary on application
Apply for Perception Engineer (MOTHER DeepVision).
Your application and CV go straight to [email protected]. Shortlisted candidates are invited to interview, with the date agreed individually.