Senior Algorithm Engineer – Sensing Algorithms

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🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $111.1k - $185.1k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Dexcom

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Dexcom is a leading provider of continuous glucose monitoring (CGM) systems, revolutionizing how people manage diabetes and track their glucose levels. Known for their best-in-class glucose biosensing technology, Dexcom offers products like the Dexcom G7 CGM system, which provides real-time glucose monitoring and insights to help individuals become healthier. Founded in 1999, Dexcom has consistently innovated in the field of diabetes management, empowering users to take control of their health with accurate and advanced glucose monitoring solutions. Their products are designed for both adults and children and do not require a prescription.

📋 Description

• 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

🎯 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 • Preferred: Experience with biosensors, physiological sensing, wearable systems, or analytical instrumentation • Preferred: Experience with calibration, estimation, filtering, or measurement system algorithms • Preferred: Experience transitioning algorithms from research into commercial products • Preferred: Experience applying strong software engineering practices in data-driven application development • Preferred: Knowledge of design controls, verification and validation processes, and product development lifecycles • Preferred: Publication, patent, or demonstrated record of innovation

🏖️ 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 • An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve