Algorithm Engineer - Advanced Sensing Algorithms
Job in
Stockton, San Joaquin County, California, 95201, USA
Listed on 2026-11-05
Listing for:
Dexcom Inc.
Full Time
position Listed on 2026-11-05
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
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.
If you are a Staff Algorithm Engineer, and if building models, developing signal processing approaches, and transforming emerging sensing technologies into impactful healthcare solutions excites you, join us!
Where you come in:- 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 techniques to extract insights from bench, pre-clinical, clinical, and real-world datasets.
- Drive technical feasibility assessments and algorithm maturation in collaboration 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.
- PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Computer Science, Biophysics, Statistics, or related field with 2-4 years of industry experience; or 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.
- Proven ability to independently drive technical programs, from concept through implementation.
- Strong systems-thinking skills with the 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.
- 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 with in regulated industries such as medical devices, pharmaceuticals, aerospace, or automotive.
- Knowledge of design controls, verification/validation processes, and product development life cycles.
- Publication, patent, or demonstrated innovation record.
- A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community.
- A full and comprehensive benefits program.
- Growth opportunities on a global scale.
- Access to career development through in-house learning programs and/or qualified tuition reimbursement.
- An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.
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