At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Senior Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role is central to developing next-generation sensor processing to enable foundational health features at WHOOP. You’ll develop the edge signal processing underpinning WHOOP physiological insights and coaching, ultimately delivering meaningful and personalized feedback to millions of members.
Lead the design and development of signal processing for real-time, edge inference on consumer products
Own the full lifecycle: prototyping, validation, productionization, and continuous improvement
Evaluate commercial solutions; create demos and inform build/buy decisions
Collaborate cross-functionally 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
B.S. in Electrical Engineering or related field, M.S. or PhD preferred
5+ years of experience developing and deploying real-time sensor signal processing algorithms (e.g., physiological, audio, motion, etc.)
Demonstrated experience deploying algorithms to consumer product embedded platforms (e.g. fixed-point DSPs or MCUs)
Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, time-frequency methods)
Experience with system-level design and optimization to maximize product battery life
Proficiency in Python or MATLAB for algorithm prototyping and with C/C++ for deployment to embedded product platforms
Excellent communication skills, including the ability to present technical results to a diverse audience
Experience developing hybrid DSP/ML systems, with a focus on signal pre-processing and/or feature extraction
Knowledge of embedded systems, RTOS, or firmware development
Deep understanding of sensor physics or sensor fusion techniques
Knowledge of microcontroller libraries for efficient signal processing (e.g. CMSIS-DSP or CMSIS-NN)
Other open roles at WHOOP(6)
Optimize sleep, strain, and recovery with WHOOP, the most advanced fitness and health wearable. With personalized insights, improve performance, build healthier habits, and extend healthspan with continuous health monitoring.
Key team members

Lee Hower

Ed Baker

Eric Liaw

Michener Chandlee
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