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 processing to enable foundational health features at WHOOP. You’ll develop the 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 voice signal processing

• 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 voice signal processing chains

• Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, analysis/synthesis filterbanks, adaptive filtering)

• Demonstrated experience integrating real-time voice processing blocks (e.g echo cancellation, noise reduction) into end-to-end signal processing pipelines

• Ability to implement and optimize signal-processing algorithms for constrained compute, memory, latency, and power budgets

• Proficiency in Python or MATLAB for algorithm/system prototyping and with C/C++ for deployment to 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

• Experience integrating and optimizing third-party libraries, frameworks, or algorithm IP

• Familiarity with embedded firmware, Bluetooth, audio codecs (e.g. Opus, LC3) and RTOS environments

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