Senior Edge Signal Processing Engineer

Whoop•Boston, MA
•$150,000 - $215,000

About The Position

WHOOP is seeking a Senior Edge Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team working across WHOOP Labs, Firmware, and Machine Learning and Research. The role focuses on developing next-generation sensor processing and the edge signal processing that supports WHOOP physiological insights and coaching. The work will help deliver meaningful, personalized feedback to WHOOP members.

Requirements

  • Bachelor of Science in Electrical Engineering or a related field; a master's degree or PhD is preferred.
  • At least 5 years of experience developing and deploying real-time sensor signal processing algorithms in physiological, audio, motion, or related modalities.
  • Strong foundation in signal processing fundamentals, such as filtering, spectral analysis, and time-frequency methods.
  • Demonstrated experience integrating signal-processing components into end-to-end embedded systems.
  • Ability to implement and optimize signal-processing algorithms for constrained compute, memory, latency, and power budgets.
  • Experience integrating third-party libraries, frameworks, or algorithm IP.
  • Proficiency in Python or MATLAB for algorithm prototyping and C/C++ for deployment to embedded product platforms.
  • Excellent communication skills, including the ability to present technical results to a diverse audience.
  • Demonstrated creativity, adaptability, and a strong interest in translating prototypes into products.

Nice To Haves

  • Experience deploying signal processing algorithms to battery-powered consumer product platforms.
  • Familiarity with adaptive signal processing, multi-sensor processing, signal enhancement, detection, or classification techniques.
  • Experience developing and evaluating hybrid DSP/ML systems.
  • Familiarity with embedded firmware, RTOS environments, and real-time processing pipelines.
  • Experience using optimized MCU/DSP libraries and acceleration frameworks, such as CMSIS-DSP, CMSIS-NN, or vendor-specific libraries.
  • Experience with fixed-point implementation, quantization, or other numerical optimization techniques for embedded signal processing.
  • Master's degree or PhD.

Responsibilities

  • Lead the design and development of real-time signal processing and edge inference for consumer products.
  • Own the full development lifecycle, from prototyping and validation through productization and continuous improvement.
  • Evaluate commercial solutions, develop prototypes and demos, and inform build-versus-buy decisions.
  • Collaborate with hardware, software, and product teams to bring algorithms to WHOOP members.
  • Mentor junior engineers and contribute to a high-performance, research-to-production culture.
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