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
