Senior Algorithm Engineer - Sensing Algorithms

Description

The company is a pioneer and global leader in continuous glucose monitoring. It started 25 years ago aiming to change how diabetes is managed and is now expanding into consumer health technology.

The Algorithms team sits at the core of the company's work, combining algorithm development with data science.

This senior role focuses on advanced sensing algorithms for next-generation CGM and other health sensing products.

Responsibilities

• Take technical lead on algorithms for next-generation glucose sensing.
• Build physics-based, mechanistic and data-driven models of sensor behavior to improve measurement performance.
• Create signal processing, estimation, calibration, detection and prediction algorithms.
• Apply statistics, machine learning and analytics to bench, preclinical, clinical and real-world data.
• Lead clinical performance assessments and mature algorithms alongside sensor, systems, hardware, firmware, clinical and product colleagues.
• Assess algorithms through simulation, modeling and experimental analysis.
• Advise on architecture, design tradeoffs, verification approaches and implementation.
• Find ways to improve overall system performance and resource use.
• Support the transfer of algorithm designs to firmware, verification and validation teams.

Requirements

• A PhD in biomedical engineering, electrical engineering, applied mathematics, physics, computer science, biophysics, statistics or a related field, plus 2 years of industry experience; or a Master's in a related field with 2-5 years of relevant experience.
• Typically a Bachelor's degree in a technical discipline with 5-8 years of related experience, a Master's with 2-5 years of equivalent industry experience, or a PhD with 0-2 years of experience.
• Expert-level skill in Python, MATLAB, C/C++ or similar technical computing environments.
• Deep expertise in statistical estimation, signal processing, optimization and mathematical modeling.
• Solid understanding of machine learning and hands-on model development.
• A proven record of developing algorithms for sensing technologies, measurement systems, medical devices or related fields.
• Experience analyzing large, complex datasets with multiple interacting signals.
• Strong written, verbal and presentation communication.
• Comfort working in ambiguous, quick-moving technical settings.
• Preferred: experience with biosensors, physiological sensing, wearable systems or analytical instrumentation.
• Preferred: experience with calibration, estimation, filtering or measurement system algorithms.
• Preferred: experience moving algorithms from research into commercial products.
• Preferred: strong software engineering practice in data-driven application development.
• Preferred: knowledge of design controls, verification and validation, and product development lifecycles.
• Preferred: publications, patents or a demonstrated record of innovation.

Conditions

Pay range: $111,100.00 to $185,100.00.

Travel: 0-5%.

Remote work from a home office. You do not need to live near a company site, typically within 75 miles or 120 km. If you live within that commuting distance, hybrid work may be available. Ask about the Flex workplace option.

Listed under the DexcomUS entity.

AI-supported tools may assist parts of hiring, but people make all hiring decisions.

Benefits

• Exposure to life-changing CGM technology and the company's employee community.
• A comprehensive benefits program.
• Growth opportunities on a global scale.
• Learning through internal programs, with tuition reimbursement where you qualify.