Plureto specializes in providing large-scale, real-world human demonstration data for embodied AI and humanoid robotics applications. They are seeking a Hardware Engineer to design, develop, and validate embedded electronic systems and wearable sensor hardware from prototype through production, owning the full development lifecycle.
Responsibilities:
- Design analog and mixed-signal circuits including low-noise amplifiers, signal conditioning chains, and sensor interfaces
- Design and fabricate custom PCBs using EasyEDA, KiCad, or Altium Designer
- Write embedded C firmware for ARM Cortex-M microcontrollers (STM32 series), including interrupt-driven acquisition, DMA, and real-time signal processing
- Implement and optimize signal processing algorithms in both firmware and Python
- Develop and execute hardware validation procedures — accuracy testing, noise floor measurement, drift analysis, and latency benchmarking
- Prototype and iterate on wearable form factors using 3D printing and flexible electronics
- Integrate hardware systems with ROS 2 for real-time data output
- Source components and manage small-batch PCB manufacturing through vendors such as JLCPCB and LCSC
- Document designs thoroughly — schematics, BOM, test procedures, and calibration protocols
Requirements:
- Strong experience in analog circuit design — instrumentation amplifiers, low-noise signal chains, and sensor interface electronics
- Proven embedded C firmware development on STM32 or similar ARM Cortex-M platforms
- Hands-on PCB design experience with EasyEDA, KiCad, or Altium Designer
- Proficiency in Python for signal processing, data analysis, and system calibration
- Experience with wearable or body-worn sensor hardware is a strong plus
- Working knowledge of ROS / ROS 2 is highly desirable
- Comfortable using bench instruments — oscilloscope, LCR meter, logic analyzer, multimeter
- Strong troubleshooting and root-cause analysis skills
- Ability to work independently, manage your own time, and deliver in a remote environment
- Bachelor's degree in Electrical Engineering, Electronics Engineering, or a related field
- Experience with inductive or magnetic sensing systems
- Knowledge of sensor fusion or Kalman filtering
- Familiarity with humanoid robotics or embodied AI hardware pipelines
- Experience working with flexible PCBs or soft wearable electronics