Wearable Biosignal Processing & Embedded ML Engineer

Sempulse

Town of Texas (WI)

Hybrid

USD 120,000 - 170,000

Full time

14 days+

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Job summary

Sempulse is seeking an opportunistic Biomedical Signal Processing Engineer to design and deploy biosignal algorithms on wearable hardware. You will own signal processing for PPG/ECG data, and drive ML model development from prototyping to deployment on constrained embedded platforms.

The role emphasizes hands-on development, independent work, and collaboration with hardware, firmware, and clinical teams. Remote work with occasional travel is expected; Austin/San Antonio or nearby Texas locations

Qualifications

BS or higher in Electrical/Biomedical/CS or related field.
Hands-on experience developing signal processing or ML algorithms for wearable biosensor data (PPG preferred).
Proficiency in MATLAB and Python with algorithm benchmarking.
Embedded ML deployment on ARM Cortex-M (CMSIS-DSP/CMSIS-NN) experience.
Strong communication, problem-solving, and self-motivation skills.

Responsibilities

Design biosignal processing algorithms for wearable data (PPG/ECG) on ARM Cortex-M.
Own the full ML pipeline: feature engineering, model selection, quantization.
Develop data collection protocols with hardware/firmware teams.
Apply rigorous statistical methods and cross-validation design.
Prototype algorithms using MATLAB and Python; document for FH.
Collaborate across hardware, firmware, and clinical teams for integration and verification.