Senior Sensor Intelligence Engineer (Embedded)

Responsibilities

• Develop signal-processing and machine-learning algorithms for physiological, motion, and wearable sensor signals.
• Design embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints.
• Characterize sensors across signal behavior, noise, artifacts, dynamic range, sampling, calibration, operating modes, and analog/acquisition architectures.
• Prototype algorithms and sensing strategies using Python, MATLAB, or similar environments and translate them into efficient embedded implementations with Firmware Engineering.
• Collaborate with Firmware, Electrical Engineering, Data Science, Hardware, and Sensor Intelligence teams to bring up sensing modalities and debug cross-stack issues.
• Develop experiments, analysis frameworks, and validation methods to optimize accuracy, robustness, latency, memory, compute, and power.

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.
• Strong foundation in digital signal processing and time-series analysis, including filtering, spectral analysis, sampling theory, noise reduction, and feature extraction.
• Experience developing algorithms for noisy sensor data and progressing them from offline analysis toward real-time, embedded, or production implementation.
• Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++.
• Working knowledge of sensor and electrical systems, including ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition.
• Ability to solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using experimental and analytical methods.
• 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.
• Commitment to using AI tools while maintaining the same quality standards as personal contributions.