About The Position

WHOOP is seeking a Senior Edge Signal Processing Engineer to join its Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Machine Learning and Research. The role focuses on developing next-generation sensor processing and edge signal processing that underpin WHOOP physiological insights, coaching, and foundational health features. The engineer will help deliver meaningful, personalized feedback to WHOOP members by taking signal-processing solutions from prototyping and validation through productization and continuous improvement.

Requirements

  • B.S. in Electrical Engineering or a related field; an M.S. or Ph.D. 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 in 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.

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-or-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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