Staff Algorithm Engineer – Advanced Sensing Algorithms

🕒 July 30

🏄 California – Remote

🏄 California – Remote

💵 $135.1k - $225.1k / year

⏰ Full Time

🔴 Lead

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 27%

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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 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 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 system performance and resource utilization • Translate early technology concepts into scalable, robust solutions for future product integration • Present technical findings, recommendations, and strategic direction to cross-functional leadership teams

🎯 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 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 • 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 within regulated industries such as medical devices, pharmaceuticals, aerospace, or automotive • Preferred: knowledge of design controls, verification/validation processes, and product development lifecycles • Preferred: publication, patent, or demonstrated innovation record • Typically requires a Bachelor’s degree in a technical discipline and 8-12 years related experience, or Master’s degree and 5-7 years equivalent industry experience, or a PhD and 2-4 years experience • Travel required: 0-5%

🏖️ 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 • Home office workplace; not required to live within commuting distance of an assigned Dexcom site • Flex workplace option may be available for employees within commuting distance of a Dexcom site