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Staff Algorithm Engineer - Advanced Sensing Algorithms

Dexcom

San Diego, CARemotePosted 10 days ago$135,100.00 - $225,100.00
Full TimeSenior LevelResearch & ScientistMedical Device
Original posting ↗

Summary

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!

Job description

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.

What makes you successful

  • 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.

Preferred

  • 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.

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
  • Excellent written, verbal, and presentation communication skills
  • Ability to thrive in ambiguous, fast-paced technical environments

Benefits

  • Comprehensive benefits program
  • Growth opportunities
  • Tuition reimbursement
  • Career development programs

Company overview

Dexcom, Inc. is a pioneering American healthcare company specializing in the development, manufacturing, and distribution of continuous glucose monitoring (CGM) systems for diabetes management. Founded in 1999 and headquartered in San Diego, California, Dexcom has transformed diabetes care through innovative biosensing technology that provides real-time glucose readings. The company's flagship products, including the G-series CGM systems, offer industry-leading accuracy and extended wear times, with the latest G7 model providing up to 15.5 days of continuous monitoring. As a publicly traded company listed on Nasdaq (DXCM) and a component of both the Nasdaq-100 and S&P 500 indices, Dexcom operates globally with manufacturing facilities in Arizona, Malaysia, and Ireland. With over 10,300 employees worldwide, the company generates approximately $4 billion in annual revenue and maintains strategic partnerships with major healthcare technology companies. Dexcom's mission focuses on empowering people with diabetes to take control of their health through advanced monitoring solutions that improve clinical outcomes and quality of life.

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