Job Title
Robotics Engineer – Systems & Sensing
Salary
£100k-£175k + Equity
Company Description
Adexis is a London-based frontier research lab solving dexterous manipulation to achieve physical general intelligence, backed by leading investors and top-tier researchers from Anthropic, ElevenLabs, and Google DeepMind.
Job Description
As a founding hire at Adexis, you will architect the real-time systems connecting AI models to physical hardware. You will build high-rate sensor nodes and the inference stack that serves as the robot’s nervous system, ensuring every signal is processed with hard real-time precision to enable reliable, complex dexterous manipulation in the real world.
Location
London, UK
Why this role is remarkable
- Join a talent-dense founding team modeled after history’s greatest labs like Bell Labs and the Manhattan Project to solve the hardest problems in robotics.
- Work alongside elite researchers from Anthropic, ElevenLabs, and Google DeepMind on a mission to bring machines the power of touch and reach physical general intelligence.
- Influence the fundamental architecture of the nervous system for next-generation robots, moving research out of notebooks and onto reliable hardware systems.
What You Will Do
- Develop and own the inference node, running complex policies on physical hardware under hard real-time constraints and tight timing guarantees.
- Build sensor nodes that synchronize and stream multi-modal data, including high-rate force and contact signals, to provide the robot with a sense of touch.
- Own the entire stack’s synchronization and latency, ensuring hardware components like arms, hands, and sensors work together as one reliable, high-performance system.
The ideal candidate
- Proven experience building and shipping real-time robotics systems onto hardware that runs reliably in production environments, not just in controlled demonstrations.
- Fluent in low-latency systems programming and deeply familiar with the nuances of sensor timing, data synchronization, and signal drift in physical systems.
- Demonstrated ability to integrate unfamiliar sensors and actuators from technical datasheets into working nodes with clean interfaces and robust performance.
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