Whoop
Senior Sensor Intelligence Engineer (Embedded Algorithms)
$150K–$215K
Boston, MA · On-site · Senior · Full-time · Posted Oct 5, 2026
- Education
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience
About the job
Develop and deploy embedded algorithms that interpret wearable sensor signals and intelligently control sensor behavior within device constraints.
What you'll do
- Develop signal-processing and machine-learning algorithms for physiological, motion, and other wearable sensor data.
- Design and validate embedded sensor-control strategies, balancing accuracy, reliability, latency, memory, compute, and power.
- Characterize sensors and collaborate across engineering teams to prototype, deploy, and debug sensing capabilities.
What they ask for
- Strong foundation in digital signal processing and time-series analysis applied to real-world sensor data.
- Experience developing algorithms for noisy sensor data and advancing them toward real-time, embedded, or production implementation.
- Proficiency in Python, MATLAB, or similar tools, plus working knowledge of C/C++ and embedded-system constraints.
- Working knowledge of sensor and electrical systems, including ADCs, analog front ends, sampling, noise, calibration, and signal acquisition.
Nice to have
- Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems.
- Experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment.
Pay
$150K – $215K USD base salary
Tools
Python, MATLAB, C/C++
AI focus
Use AI tools in day-to-day tasks and ensure AI-assisted work meets the same quality standards as personal contributions; develop machine-learning algorithms for sensor signals.
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