Senior Signal Processing Engineer at WHOOP
Senior Signal Processing Engineer
WHOOP
On-site
Boston, MA
Full-time
Salary not listed
Posted 5 June 2026
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Job Description
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.
RESPONSIBILITIES:
- 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
QUALIFICATIONS:
- 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
BONUS QUALIFICATIONS:
- 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)