ashby
Senior Edge Signal Processing Engineer
Whoop
Boston, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered Today
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Key Skills for This Role
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Full Job Posting
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
Preferred Qualifications
- B.S. in Electrical Engineering or related field, M.S. or PhD preferred
- Additional Desired Experience
About Whoop
Technology
WHOOP is a fitness and health wearable that tracks sleep, strain, and recovery through continuous monitoring, delivering personalized insights to optimize performance and healthspan.
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