WHOOP

Technology

SeniorSignalProcessingEngineer

$150–215k Boston, Massachusetts, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Signal Processing Engineer at WHOOP. Skills: Signal processing, Machine learning, Embedded systems. Develop and implement signal processing algorithms. Develop and implement sensor fusion algorithms”

Industry & Context.

Technology
Problems you'll solve

Algorithm optimization; Data interpretation

What They're Looking For.

Must Have

Bachelor's degree in Electrical Engineering, 5+ years of experience in signal processing, Experience with embedded systems, Experience with sensor fusion algorithms, Experience with machine learning algorithms

Nice to Have

Master's degree or PhD, Experience with wearable sensor data, Experience with Python for data analysis, Experience with C++ for embedded systems

What You'll Do.

Develop and implement signal processing algorithms

Develop and implement sensor fusion algorithms

Develop and implement machine learning algorithms

Process and analyze wearable sensor data

Optimize algorithms for embedded systems

Collaborate with hardware and software teams

Validate algorithms with real-world data

Contribute to system design and architecture

How You'll Work.

Team & Collaboration

Hardware teams; Software teams; Cross-functional teams

Communication Scope

Technical communication

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 devel

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