Senior Sensor Intelligence Engineer (Embedded Algorithms)

WHOOP, a leading performance optimization company, as a Senior Sensor Intelligence Engineer. In this role, you will develop algorithms that interpret real-world sensor signals and control sensor operation on-device. You will work across the sensing stack, from understanding sensor physics to algorithm development and embedded deployment.

Responsibilities

• You will also collaborate with various teams to bring new sensing modalities to life and optimize solutions for accuracy, robustness, latency, memory, compute, and power.
• Enjoy a flexible vacation policy, paid parental leave, stock options, complimentary WHOOP membership, and a competitive benefits package.
• Develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device.
• Work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment.
• Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust implementations.
• Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data

Requirements

• BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience
• Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus
• Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods
• Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces

Preferred

• Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
• Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition
• Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation

Interested in the role, but don't meet every qualification? We encourage you to still apply!