We are looking for an Embedded Systems Engineer who thrives at the intersection of hardware and software. You’ll take ownership of the design, implementation, and testing of low-power Bluetooth devices, working from prototype to production across embedded firmware, electronics integration, and system-level optimization.

This is a hands-on role for an engineer who enjoys building real devices — thinking deeply about power, latency, and communication efficiency — while collaborating with AI and neuroscience teams exploring the frontier of intelligent systems.

• Develop and optimize firmware for low-power, connected embedded systems (BLE / BT 5.x)
  

• Design and debug embedded architectures using STM32, Nordic nRF, ESP32, or similar microcontrollers
  

• Implement communication protocols (BLE GATT, SPI, I²C, UART) and data streaming interfaces
  

• Implement ASIC and FPGA optimization
  

• Work closely with hardware and mechanical engineers to refine PCB layouts and sensor integration
  

• Build test infrastructure for firmware validation, including scripting (Python) and CI pipelines
  

• Collaborate with AI and data science teams on embedded-to-cloud data interfaces
  

• Contribute to system-level design discussions around efficiency, reliability, and scalability
  

You’re a builder — someone who makes things work in the real world. You have a history of creating both software and physical devices, whether in research labs, startups, or personal projects. You thrive on solving cross-disciplinary challenges and are driven by curiosity, not just specification sheets.

You:

• Think in systems — from PCB traces to software stacks
  

• Have experience with low-power or battery-operated devices
  

• Are fluent in C/C++ for embedded development and comfortable with Python for tooling or automation
  

• Value clarity, creativity, and rigor
  

• Are motivated by long-term impact, not short-term hacks
  

• Have interest or experience in neuroscience, biomedical devices, or AI (ideal but not required)
  

• Degree in Electrical, Electronic, Computer Engineering, or related field
  

• 3+ years of hands-on embedded development experience
  

• Strong knowledge of Bluetooth LE and wireless communication fundamentals
  

• Familiarity with RTOS environments and low-level debugging tools
  

• Experience with Linux-based development workflows and version control (Git)
  

• Understanding of power optimization and hardware–software integration
  

• Experience with biosignal acquisition, neurotech devices, or sensor fusion
  

• PCB design exposure (KiCad, Altium, or similar)
  

• Experience deploying embedded ML or edge-AI models
  

• Contributions to open-source or research projects
  

• A research-driven environment bridging neuroscience, embedded systems, and AI
  

• Flexible hybrid setup — work from a London lab or remotely
  

• Competitive salary with equity participation
  

• Opportunity to contribute to groundbreaking technology with real human impact
  

• Small, interdisciplinary team committed to rigor, openness, and creativity