# Senior Signal Processing Engineer

**Company:** [WHOOP](https://hotfix.jobs/companies/whoop)
**Location:** Boston, MA
**Role:** Embedded Engineering
**Experience:** 5+ years
**Skills:** Python, MATLAB, C, C++, Signal Processing, Dsp, Embedded Systems, Rtos, Sensor Fusion, Cmsis-Dsp
**Posted:** 2026-06-05

> Lead design and deployment of real-time sensor signal processing algorithms for edge inference on consumer wearables. Requires 5+ years experience with embedded DSP platforms, Python/MATLAB prototyping, and C/C++ deployment.

## Job Description

## 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

## Requirements
- 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)
- Demonstrated experience deploying algorithms to consumer product embedded platforms (e.g., fixed-point DSPs or MCUs)
- Strong foundation in signal processing fundamentals (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

## Nice-to-Haves
- Experience developing hybrid DSP/ML systems, with a focus on signal pre-processing and/or feature extraction
- Knowledge of embedded systems, RTOS, or firmware development
- Deep understanding of sensor physics or sensor fusion techniques
- Knowledge of microcontroller libraries for efficient signal processing (e.g., CMSIS-DSP or CMSIS-NN)

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