Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
What You’ll Do
• Design, implement, and optimize the embedded control stack for general-purpose robots
• Design motion planning and trajectory optimization algorithms for dynamic locomotion and manipulation
• Build real-time state estimation pipelines for pose, contact, and force sensing, fusing heterogeneous sensor data under noise and uncertainty
• Formulate and solve optimal control problems (nonlinear MPC, convex optimization, trajectory optimization) for high-performance and stable behavior
• Build modular and robust software frameworks enabling rapid iteration between simulation and hardware
• Lead debugging, tuning, and validation of controllers directly on physical robots
What You’ll Bring
• Passion for your craft and demonstrated excellence in control systems engineering
• Extensive experience in designing, implementing, and deploying advanced control algorithms on real robotic system products (8+ years)
• Deep expertise in dynamics, kinematics, optimal control, and state estimation
• Strong command of hardware interfaces, sensors (IMUs, F/T sensors), and actuation technologies (motors, gearboxes, drivers)
• Production-level mastery of C++ with a track record of building reliable, safety-critical software
• Proven ability to bridge across hardware, software, and algorithms to deliver robust end-to-end systems
• An open mind about the power of deep learning, reinforcement learning, and vision-language-action models as critical for general-purpose robotics
• Bonus: Experience shipping humanoid robots or whole-body control systems
• Bonus: Impactful published work in control theory, state estimation, or mathematical optimization
• Bonus: Familiarity with parallel computation on GPUs to accelerate optimization
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