Staff Algorithm Engineer - Advanced Sensing Algorithms
About The Position
Dexcom is seeking a Staff Algorithm Engineer to develop advanced algorithms for next-generation sensing technologies. The role focuses on building physics-based, mechanistic, and data-driven models to characterize sensor behavior and improve measurement performance, and on translating emerging sensing technologies into scalable solutions for future products. The engineer will work with bench, pre-clinical, clinical, and real-world datasets, and collaborate with systems, hardware, firmware, clinical, and product teams to mature algorithms and assess technical feasibility. The position provides technical leadership in algorithm architecture, design tradeoffs, verification strategies, and implementation approaches. It also involves evaluating performance through simulation, modeling, and experimental analysis; optimizing system performance and resource utilization with hardware and firmware teams; and presenting findings and strategic recommendations to cross-functional leadership. The position is remote, with a home office; employees living within commuting distance of a Dexcom site may have a hybrid option. Travel is 0–5%.
Requirements
- PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Computer Science, Biophysics, Statistics, or a related field with 2–4 years of industry experience; or an MS with 5–7 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, measurement systems, medical devices, or related disciplines.
- Experience analyzing large, complex datasets containing multiple signals and dependencies.
- Ability to independently drive technical programs from concept through implementation.
- Strong systems-thinking skills and ability to understand interactions across hardware, firmware, algorithms, and user experience.
- Experience balancing innovation, technical risk reduction, development timelines, and implementation constraints.
- Excellent written, verbal, and presentation communication skills.
- Ability to thrive in ambiguous, fast-paced technical environments.
- Typically requires a bachelor’s degree in a technical discipline and 8–12 years of related experience, a master’s degree and 5–7 years of equivalent industry experience, or a PhD and 2–4 years of experience.
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 in regulated industries such as medical devices, pharmaceuticals, aerospace, or automotive.
- Knowledge of design controls, verification/validation processes, and product development lifecycles.
- Publication, patent, or demonstrated innovation record.
Responsibilities
- Lead development of advanced algorithms supporting next-generation 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, pre-clinical, clinical, and real-world datasets.
- Drive technical feasibility assessments and algorithm maturation with systems, hardware, firmware, clinical, and product teams.
- Evaluate algorithm performance through simulation, modeling, and experimental analysis.
- Provide technical leadership on algorithm architecture, design tradeoffs, verification strategies, and implementation approaches.
- Partner with hardware and firmware teams to optimize overall system performance and resource utilization.
- Translate early technology concepts into scalable, robust solutions suitable for future product integration.
- Present technical findings, recommendations, and strategic direction to cross-functional leadership 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.
- Remote workplace, with a hybrid working environment potentially available for employees living within commuting distance of a Dexcom site.
- Access to life-changing continuous glucose monitoring technology.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
