Staff Algorithm Engineer: Emerging Sensing Tech (Remote)

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

Job summary

Dexcom Corporation in the United States is seeking a Staff Algorithm Engineer to advance emerging sensing technologies. You will lead algorithm development, modeling, and simulation to understand complex biosensing phenomena and to inform technology investment decisions.

The role requires a PhD or MS with strong modeling, statistics, and machine-learning capabilities, and proficiency with Python or MATLAB. Remote work from California is supported; travel is 0–5%.

Qualifications

• PhD in a relevant field with 2–4 years industry experience or MS with 5–7 years.
• Strong foundation in modeling, statistics, and machine learning.
• Experience with biosensing or related domains preferred.

Responsibilities

• Lead algorithm, modeling, and simulation activities for emerging sensing technologies.
• Develop first-principles, mechanistic, statistical, and ML models to understand biosensing phenomena.
• Design experiments and analyses to evaluate technology feasibility and performance limits.
• Collaborate with multidisciplinary teams to identify opportunities and risks.

Skills

Python

MATLAB

Machine learning

Statistical modeling

First-principles modeling

Education

PhD in Biomedical Engineering / Electrical Engineering / Physics / CS

MS in a technical field

Bachelor's degree in a technical discipline

Tools

Simulation frameworks

Data analysis tools

Job description

Dexcom Corporation in the United States is seeking a Staff Algorithm Engineer to advance emerging sensing technologies. You will lead algorithm development, modeling, and simulation to understand complex biosensing phenomena and to inform technology investment decisions.

The role requires a PhD or MS with strong modeling, statistics, and machine-learning capabilities, and proficiency with Python or MATLAB. Remote work from California is supported; travel is 0–5%.