Principal Engineer- Applications (Time-Series Sensor Intelligence)

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Job Description:

We are seeking a Principal Engineer to lead the development of intelligent solutions leveraging time-series sensor data across diverse modalities such as vibration, current, acoustic, thermal, and environmental sensing. This role emphasizes signal processing, real-time analytics, and AI/ML-driven inference on embedded platforms.

Key Responsibilities

Architect end-to-end pipelines for time-series data acquisition, conditioning, and processing

Develop advanced algorithms for filtering, feature extraction, spectral analysis, and anomaly detection

Design and deploy real-time DSP and ML pipelines on MCU/DSP/MPU platforms

Enable applications such as predictive maintenance, fault detection, and condition monitoring

Optimize solutions for latency, power, and memory constraints in embedded systems

Collaborate cross-functionally with analog, firmware, software, and applications teams

Requirements/Qualifications:

BS in Electrical Engineering or related field with 10+ years of experience

Strong background in signal processing, DSP, and time-series analytics

Experience with ADCs, sensor interfaces, and real-time data pipelines

Proficiency in C/C++ for embedded systems

Familiarity with industrial, automotive, or IoT sensing applications

Preferred Qualifications:

MS/PhD in Electrical Engineering or related field

Travel Time:

0% - 25%

Physical Attributes:

Feeling, Hearing, Seeing, Talking, Works Alone, Works Around Others

Physical Requirements:

80% standing, 10% walking, 10% sitting

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