Senior Algorithm Engineer - Sensing Algorithms

DexcomRemote California, CA
$111,100 - $185,100Remote

About The Position

Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. 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. Join us if building models, developing signal processing approaches, and transforming emerging sensing technologies into impactful healthcare solutions excites you. As a Senior Algorithm Engineer, you will play a key role in developing advanced sensing algorithms that power next-generation continuous glucose monitoring and health sensing technologies.

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.

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 applying strong software engineering practices in data-driven application development.
  • Knowledge of design controls, verification and validation processes, and product development lifecycles.
  • Publication, patent, or demonstrated record of innovation.

Responsibilities

  • 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.

Benefits

  • 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.
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