Hiring.Camp

Senior Algorithm Engineer - Sensing Algorithms

Dexcom

·

Yesterday

Salary
$111k – $185k
Location
CA,US, US
Workplace
Remote
Type
Full-time
Department
Engineering
Seniority
Senior
Education
PhD
Source
Eightfold

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. 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.

Where you come in:

  • 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.

What makes you successful:

  • 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.
  • 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.

What you’ll get:

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

Travel Required:

  • 0-5%

Education and Experience:

  • Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 5-8 years related experience or Master’s degree and 2-5 years equivalent industry experience or a PhD and 0-2 years experience.

Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option.

Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom’s AAP may be viewed upon request by contacting Talent Acquisition at [email protected].

If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at [email protected].

Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: https://health1.meritain.com/app/public/#/one/insurerCode=MERITAIN_I&brandCode=MERITAINOVER/machine-readable-transparency-in-coverage?reportingEntityType=TPA_19874&lock=true

AI in Hiring Notice: We may use AI supported tools to help make our hiring process more efficient, consistent, and accessible for candidates around the world. All hiring decisions are made by people.

Salary:

$111,100.00 - $185,100.00

Skills

PythonMATLABMachine LearningData Science

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