Staff Algorithm Engineer - Advanced Sensing Algorithms
About The Position
This role is for a Staff Algorithm Engineer focused on Advanced Sensing Algorithms. The Algorithms team is central to Dexcom's mission, developing models, signal processing approaches, and transforming sensing technologies into healthcare solutions. The engineer will lead the development of advanced algorithms for next-generation sensing technologies, creating physics-based, mechanistic, and data-driven models to improve sensor behavior and measurement performance. Responsibilities include designing and implementing signal processing, estimation, calibration, detection, and predictive algorithms, applying statistical modeling, machine learning, and data analytics. The role involves driving technical feasibility assessments, algorithm maturation in collaboration with cross-functional teams, evaluating performance through simulation and analysis, and providing technical leadership on algorithm architecture and design tradeoffs. The engineer will also partner with hardware and firmware teams to optimize system performance and resource utilization, translate concepts into scalable solutions, and present findings to leadership.
Requirements
- 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.
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 within 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 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.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
