Embedded Systems Engineer for BLE Neuro-Rehab Device

Master in Integrated Building Systems ETH Zürich

Zürich

Vor Ort

CHF 90.000 - 120.000

Vollzeit

Vor 4 Tagen
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Benefits dieser Stelle

Ownership over product development
Close collaboration with clinicians
Competitive salary

Zusammenfassung

ETH Zurich’s Rehabilitation Engineering Laboratory (RELab) seeks an Embedded Systems Engineer to lead firmware and electronics for ax|ReCover, a modular smartphone-based rehabilitation platform. You will design sensor pipelines, enable BLE communication with mobile devices, and iterate PCBs for robust, manufacturable hardware.

You will work closely with a multidisciplinary research team on digital health and neurorehabilitation, with hands-on hardware and software responsibilities and a focus on

Qualifikationen

  • An MSc or BSc in Electrical Engineering, Embedded Systems, Computer Engineering, Robotics or a related discipline.
  • Strong C/C++ programming skills.
  • Experience developing and testing firmware for ARM Cortex-M or similar microcontrollers.
  • Experience with Bluetooth Low Energy (BLE).
  • Experience with SPI, I²C, UART, ADCs, DMA, interrupts and timers.
  • Experience designing or iterating custom embedded electronics, including schematic capture and PCB design using KiCad, Altium Designer or similar EDA software.
  • Experience bringing up and debugging custom PCBs.
  • Strong electronics experience, including reading and understanding electronic schematics, digital and basic analogue electronics, sensor integration, component selection, power management fundamentals, and hardware bring-up and validation
  • Comfort using oscilloscopes, logic analysers, multimeters and other laboratory equipment
  • Strong debugging and troubleshooting skills across both hardware and firmware
  • Experience integrating sensors into embedded systems
  • Willingness to work closely with a small, multidisciplinary research team, and a strong interest in digital health and neurorehabilitation
  • Independence and a get-things-done mentality, with a self-starter attitude and comfort developing and testing novel ideas
  • Excellent communication and interpersonal skills, with first-rate written and spoken English and solid German skills.

Aufgaben

  • Develop embedded firmware for our modular rehabilitation platform ax|ReCover.
  • Design, implement and validate reliable sensor acquisition pipelines
  • Integrate biomechanical and physiological sensors into embedded systems
  • Develop Bluetooth Low Energy (BLE) communication between ax|ReCover and the smartphone
  • Implement synchronised sensor acquisition and data streaming
  • Design and iterate electronic schematics and PCBs for new hardware revisions
  • Select electronic components and contribute to electronics architecture decisions
  • Bring up and validate custom PCBs
  • Develop low-level drivers for sensors and communication peripherals
  • Collaborate closely with the research team on electronics integration and prototype development
  • Use oscilloscopes, logic analysers, mustimeters and other laboratory equipment to diagnose hardware and firmware issues
  • Optimise power consumption, communication reliability and embedded system performance
  • Support electronics testing, validation and design verification
  • Help establish engineering processes and documentation for future regulatory development

Kenntnisse

C/C++ programming
ARM Cortex-M
BLE
Sensor integration
PCB design
Debugging hardware & firmware
Power management
English (strong)
German (basic)

Ausbildung

MSc or BSc in Electrical Engineering, Embedded Systems, Computer Engineering, Robotics

Tools

KiCad
Altium Designer
Nordic nRF52/54
Zephyr RTOS / FreeRTOS

Jobbeschreibung

ETH Zurich’s Rehabilitation Engineering Laboratory (RELab) seeks an Embedded Systems Engineer to lead firmware and electronics for ax|ReCover, a modular smartphone-based rehabilitation platform. You will design sensor pipelines, enable BLE communication with mobile devices, and iterate PCBs for robust, manufacturable hardware.

You will work closely with a multidisciplinary research team on digital health and neurorehabilitation, with hands-on hardware and software responsibilities and a focus on

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