Senior Edge Signal Processing Engineer

At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

WHOOP is seeking a Senior Edge Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Machine Learning and Research. This role is central to developing next-generation sensor processing to enable foundational health features ’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 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/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

QualificationsB.S. in Electrical Engineering or related field, M.S. or PhD preferred5+ years of experience developing and deploying real-time sensor signal processing algorithms (physiological, audio, motion, or related modalities)
Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, 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 with 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

Additional Desired Experience 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 (e.g., CMSIS-DSP, CMSIS-NN, or vendor-specific libraries)

Experience with fixed-point implementation, quantization, or other numerical optimization techniques for embedded signal processing