Senior Algorithm Engineer - Sensing Algorithms

Dexcom • Remote California, CA

1d • $111,100 - $185,100 • Remote

About The Position

Dexcom is seeking a Senior Algorithm Engineer to develop advanced sensing algorithms for next-generation continuous glucose monitoring and health-sensing technologies. The role combines algorithm development, data science, signal processing, and modeling to help translate emerging sensing technologies into healthcare solutions. The engineer works with sensor, systems, hardware, firmware, clinical, and product teams to assess clinical performance, mature algorithms, and support their transition into products. The position is remote, with a home office; a hybrid environment may be available for employees who live within commuting distance of a Dexcom site. Travel is 0–5%.

Requirements

• PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Computer Science, Biophysics, Statistics, or a related field with 2 years of industry experience; or a Master's degree in a related field with 2–5 years of relevant experience.
• Expert-level proficiency in Python, MATLAB, C/C++, or similar technical computing environments.
• Deep expertise in statistical estimation, signal processing, optimization, and mathematical modeling.
• Strong understanding of machine learning techniques and practical model development.
• Demonstrated experience developing algorithms for sensing technologies, measurement systems, medical devices, or related disciplines.
• Experience analyzing large and complex datasets with multiple signals and dependencies.
• Excellent written, verbal, and presentation communication skills.
• Ability to thrive in ambiguous, fast-paced technical environments.

Nice To Haves

• Experience with biosensors, physiological sensing, wearable systems, or analytical instrumentation.
• Experience with calibration, estimation, filtering, or measurement system algorithms.
• Experience transitioning algorithms from research into commercial products.
• Experience applying strong software engineering practices in data-driven application development.
• Knowledge of design controls, verification and validation processes, and product development lifecycles.
• Publication, patent, or demonstrated record of innovation.

Responsibilities

• Lead development of advanced algorithms supporting next-generation glucose sensing technologies.
• Develop physics-based, mechanistic, and data-driven models to characterize sensor behavior and improve measurement performance.
• Design and implement signal processing, estimation, calibration, detection, and predictive algorithms.
• Apply statistical modeling, machine learning, and data analytics to bench, preclinical, clinical, and real-world datasets.
• Drive clinical performance assessments and algorithm maturation with sensor, systems, hardware, firmware, clinical, and product teams.
• Evaluate algorithm performance through simulation, modeling, and experimental analysis.
• Provide technical insights on algorithm architecture, design tradeoffs, verification strategies, and implementation approaches.
• Identify opportunities to optimize overall system performance and resource utilization.
• Facilitate algorithm design transfer activities with firmware, verification, and validation teams.

Benefits

• Full and comprehensive benefits program.
• Growth opportunities on a global scale.
• Career development through in-house learning programs and/or qualified tuition reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree