Senior Algorithm Engineer - Sensing Algorithms
Dexcom
Summary
This is where a desire to make a difference in people's lives meets a passion for algorithm development and data science. The Algorithms team is at the very heart of what we do at Dexcom. Join us if building models, developing signal processing approaches, and transforming emerging sensing technologies into impactful healthcare solutions excites you. As a Senior Algorithm Engineer, you will play a key role in developing advanced sensing algorithms that power next-generation continuous glucose monitoring and health sensing technologies.
Job description
Meet the team
This is where a desire to make a difference in people's lives meets a passion for algorithm development and data science. The Algorithms team is at the very heart of what we do at Dexcom. Join us if building models, developing signal processing approaches, and transforming emerging sensing technologies into impactful healthcare solutions excites you. As a Senior Algorithm Engineer, you will play a key role in developing advanced sensing algorithms that power next-generation continuous glucose monitoring and health sensing technologies.
Where you come in
- 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 techniques to extract insights from bench, preclinical, clinical, and real-world datasets.
- Drive clinical performance assessments and algorithm maturation in collaboration 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.
What makes you successful
- 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.
Preferred
- 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.
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.
- 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.
Benefits
- Comprehensive benefits program
- Growth opportunities
- Tuition reimbursement
- Career development programs
Company overview
Dexcom, Inc. is a pioneering American healthcare company specializing in the development, manufacturing, and distribution of continuous glucose monitoring (CGM) systems for diabetes management. Founded in 1999 and headquartered in San Diego, California, Dexcom has transformed diabetes care through innovative biosensing technology that provides real-time glucose readings. The company's flagship products, including the G-series CGM systems, offer industry-leading accuracy and extended wear times, with the latest G7 model providing up to 15.5 days of continuous monitoring. As a publicly traded company listed on Nasdaq (DXCM) and a component of both the Nasdaq-100 and S&P 500 indices, Dexcom operates globally with manufacturing facilities in Arizona, Malaysia, and Ireland. With over 10,300 employees worldwide, the company generates approximately $4 billion in annual revenue and maintains strategic partnerships with major healthcare technology companies. Dexcom's mission focuses on empowering people with diabetes to take control of their health through advanced monitoring solutions that improve clinical outcomes and quality of life.