100 Automatic Data Processing Planner jobs in Boston, MA
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Senior Signal Processing Engineer
Whoop
Senior Signal Processing Engineer
This job is still taking applications, but it's been up a while.
About the job
WHOOP is a health tech company dedicated to unlocking human performance through wearable sensors. This senior role focuses on developing sensor processing algorithms for health insights and coaching, impacting millions worldwide.
Requirements
- B.S
- in Electrical Engineering
- 5+ years in sensor signal processing
- Experience with embedded platforms
- Proficiency in Python or MATLAB
Qualifications
- M.S
- or PhD preferred
- Experience deploying algorithms
- Knowledge of embedded systems
- Excellent communication skills
Full 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)
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