Senior Sensor Algorithms Engineer - Wearable IMU & Fusion

Whoop; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

WHOOP in Boston, MA is seeking a Senior Sensor Algorithm Engineer to develop real-time signal processing and sensor fusion for wearable devices, focusing on IMU and optical sensor data. You will prototype in Python and deploy robust C/C++ implementations on-device, collaborating with Firmware, Hardware, Data Science, and Product teams.

The role emphasizes production-grade algorithms, validation across diverse users and conditions, and delivering reliable insights under wearable hardware

Qualifications

• 5+ years of hands-on experience with signal processing, sensor fusion, or state estimation using IMU data.
• MS or PhD in Electrical Engineering, Biomedical Engineering, CS, Applied Math, or equivalent.
• Proficiency in Python for prototyping and C/C++ for embedded deployment.
• Experience with Kalman filtering and model-based sensor fusion.

Responsibilities

• Design and develop real-time signal processing and sensor fusion algorithms to characterize motion.
• Develop and tune model-based estimators for orientation and motion.
• Build robust IMU processing pipelines including filtering, calibration, and time synchronization.
• Analyze large-scale wearable datasets to improve robustness.
• Translate prototypes into production-ready C/C++ implementations.
• Partner with Firmware and Hardware on sensor configuration and on-device integration.
• Define performance metrics and validation plans for accuracy and robustness.
• Own technical decisions and mentor teammates across functions.

Skills

Signal processing

Sensor fusion

Kalman filtering

Python

C/C++

Education

MS/PhD in EE/related

Tools

Python

C/C++

Job description

WHOOP in Boston, MA is seeking a Senior Sensor Algorithm Engineer to develop real-time signal processing and sensor fusion for wearable devices, focusing on IMU and optical sensor data. You will prototype in Python and deploy robust C/C++ implementations on-device, collaborating with Firmware, Hardware, Data Science, and Product teams.

The role emphasizes production-grade algorithms, validation across diverse users and conditions, and delivering reliable insights under wearable hardware