Remote Staff Algorithm Engineer — Advanced Sensing

Dexcom Inc.; California (MO); Remote; USD 135,000 - 225,000; Full time

Job summary

Dexcom Inc. in California is seeking a Staff Algorithm Engineer to lead development of advanced sensing and data-driven models for next-generation CGM technologies.

You will design signal processing, estimation, calibration, detection, and predictive algorithms, and collaborate across hardware, firmware, and product teams. The role requires PhD or MS with substantial experience, expert Python/MATLAB/C/C++, and strong skills in statistical estimation, machine learning, and data analytics.

Qualifications

• PhD or MS with substantial industry experience in relevant field.
• Expert-level proficiency in Python, MATLAB, C/C++, or similar environments.
• Deep expertise in statistical estimation, signal processing, optimization, and mathematical modeling.
• Strong knowledge of machine learning techniques and practical model development.
• Experience developing algorithms for sensing or medical devices.

Responsibilities

• Lead development of advanced algorithms for next-generation sensing technologies.
• Develop physics-based, mechanistic, and data-driven models of sensor behavior.
• Design and implement signal processing, estimation, calibration, detection, and predictive algorithms.
• Apply statistical modeling, ML, and data analytics to large datasets.
• Collaborate with hardware, firmware, clinical, and product teams to mature algorithms.

Skills

Python

MATLAB

C/C++

Statistical estimation

Signal processing

Machine learning

Education

PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Computer Science, Biophysics, Statistics, or related field

MS with 5-7 years of industry experience

Bachelor’s degree in a technical discipline

Job description

Dexcom Inc. in California is seeking a Staff Algorithm Engineer to lead development of advanced sensing and data-driven models for next-generation CGM technologies.

You will design signal processing, estimation, calibration, detection, and predictive algorithms, and collaborate across hardware, firmware, and product teams. The role requires PhD or MS with substantial experience, expert Python/MATLAB/C/C++, and strong skills in statistical estimation, machine learning, and data analytics.