Hardware Engineer

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