B.S. in Electrical Engineering or related field; M.S. or PhD preferred
5+ years of experience in real-time sensor signal processing algorithms
Strong foundation in signal processing fundamentals
Experience integrating signal-processing components into embedded systems
Ability to optimize algorithms for constrained environments
Proficiency in Python or MATLAB for prototyping and C/C++ for deployment
Excellent communication skills for diverse audiences
Responsibilities
Lead design and development of real-time signal processing for consumer products
Own the full development lifecycle from prototyping to productization
Evaluate commercial solutions and inform build/buy decisions
Collaborate with hardware, software, and product teams to implement algorithms
Mentor junior engineers and foster a high-performance culture
Benefits
Collaborative work environment with cross-functional teams
Opportunity to impact health features for millions of users
Mentorship and professional development opportunities
Engagement in cutting-edge technology and research
Focus on translating innovative prototypes into market-ready products
Full Job Description
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 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 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
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 (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
About WHOOP
WHOOP is a wearable technology company that specializes in fitness tracking. The company was founded in 2012 and is based in Boston, Massachusetts. WHOOP's flagship product is a wristband that tracks various metrics related to fitness and health, such as heart rate variability, sleep quality, and recovery time. The company also offers a subscription service that provides personalized insights and recommendations based on the data collected by the wristband. WHOOP has raised over $200 million in funding and has partnerships with several professional sports leagues and teams.
