Whoop
Senior Signal Processing Engineer (Applied Algorithms)
$150K–$215K
Boston, MA · On-site · Senior · Full-time · Posted Oct 9, 2026
- Experience
- 5+ years
- Education
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience.
About the job
Develops and deploys real-time physiological sensor algorithms, especially for IMU data, from prototyping through embedded implementation and production validation.
What you'll do
- Design sensor-fusion and state-estimation algorithms for motion and orientation insights.
- Analyze wearable data and validate algorithm accuracy, robustness, and stability in real-world and on-device testing.
- Implement and integrate algorithms in C/C++ for resource-constrained wearable hardware.
What they ask for
- 5+ years developing and deploying signal-processing, sensor-fusion, or state-estimation algorithms for real-world sensors, including substantial hands-on IMU work.
- MS or PhD in a related quantitative field, or equivalent practical experience.
- Strong signal-processing foundation and demonstrated experience with accelerometer/gyroscope processing, IMU calibration, error modeling, bias estimation, and drift management.
- Experience with Kalman filtering and model-based sensor fusion; proficiency in Python and C/C++ and experience deploying algorithms to resource-constrained hardware.
Nice to have
- Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis.
Pay
$150K – $215K (base salary)
Tools
Python, C/C++, IMU, Kalman filtering
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