Senior Sensor Fusion & Signal Processing Engineer

WHOOP; Boston (MA); On-site; USD 150,000 - 190,000; Full time

Job summary

WHOOP seeks a Senior Sensor Algorithm Engineer to develop real-time sensor processing and fusion algorithms for optical and IMU data in wearable devices. You will prototype in Python and deploy efficient C/C++ in firmware, partnering across Firmware, Hardware, and Data Science teams.

You will own model-based estimators, calibration, and validation plans to ensure accuracy and robustness across users and conditions, with a focus on power and latency in constrained hardware.

Qualifications

• 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data.
• Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization.
• Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management.
• Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation.
• Proficiency in Python for algorithm development, data analysis, and experimentation; and C/C++ for efficient embedded implementation.

Responsibilities

• Design and develop real-time signal processing and sensor fusion algorithms that combine sensor measurements to characterize motion and deliver reliable member-facing insights.
• Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation.
• Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors.
• Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics.
• Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency.
• Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware.
• Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability.
• Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement.

Skills

Sensor fusion

State estimation

IMU data

Python

Algorithms

Signal processing

Education

MS or PhD in Electrical/Biomedical/CS/Applied Math

Tools

C/C++

Firmware

Job description

WHOOP seeks a Senior Sensor Algorithm Engineer to develop real-time sensor processing and fusion algorithms for optical and IMU data in wearable devices. You will prototype in Python and deploy efficient C/C++ in firmware, partnering across Firmware, Hardware, and Data Science teams.

You will own model-based estimators, calibration, and validation plans to ensure accuracy and robustness across users and conditions, with a focus on power and latency in constrained hardware.