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Signal Processing Engineer II



Boston, MA, USA
Posted on Thursday, August 10, 2023
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team comprised of DSP, Firmware, and Electrical engineers. You will work on the core, fundamental features at WHOOP. This role will be tasked with analyzing sensor data, validating and improving signal quality, and designing, coding, implementing, and validating signal processing algorithms.


  • Designing and implementing cutting-edge signal processing algorithms on low-power MCUs and/or DSP processors, with a specific focus on ARM Cortex-M processors.
  • Engaging in software development and proficiently debugging embedded devices to ensure optimal functionality and performance.
  • Conduct thorough analyses of sensor signal data, including SNR, noise characterization, and performance evaluation, to identify areas for improvement.
  • Efficiently converting algorithms from Matlab/Python into C/Assembly language, ensuring seamless integration and enhanced efficiency.
  • Conduct performance testing and validation of signal processing algorithms in both simulation and real-world scenarios.
  • Collaborate with hardware engineers to ensure seamless integration of signal processing algorithms into embedded platforms.
  • Document all designs, methodologies, and results thoroughly for knowledge sharing and future reference.


  • Bachelor's or Master’s degree in an engineering-related field with at least 2-years of industry experience working with signal processing and/or embedded systems
  • Strong understanding of signal processing fundamentals and applications
  • Proficiency in C/C++
  • Experience developing signal processing algorithms in MATLAB or Python
  • Creative problem-solver with a passion for innovating, improving processes, and developing new tools from scratch


  • Strong understanding of how to map high-level algorithms to low-level implementation in C
  • Experience with biosensor systems or biomedical signal processing, in particular with optics systems such as photodiodes, LEDs, and analog components such as ADCs
  • Familiarity with Machine Learning algorithms and development
  • Experience with statistical analysis and understanding of random variables and processes