Senior Staff Algorithm Engineer at Dexcom

, California, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Jan, 26

Salary

273600.0

Posted On

01 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Algorithm Development, Systems Integration, Health Tech Engineering, Physiologic Modeling, Biosignal Processing, Sensor-Based Systems, Matlab, Python, Cloud-Native Development, Metabolic Health Applications, Wearable Devices, Digital Therapeutics, Technical Leadership, Model Validation, System Testing, Performance Optimization

Industry

Medical Equipment Manufacturing

Description

The Company 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: We are seeking a technically exceptional Senior Staff Algorithm Engineer to lead the design and development of next-generation diabetes and metabolic health systems. The Analytics and Monitoring Algorithm team is responsible for the design and development of algorithms for the most accurate and reliable CGMs in the industry. Our team is the bridge between cutting-edge sensor technology and clinical excellence - driving innovation that enhances accuracy, reliability, and usability, while shaping the future of integrated insulin delivery. We transform sensor data into an exceptional customer experience. Where you come in: This role focuses on architecting and implementing algorithms that enable an integrated approach across sensor, therapy delivery, and insight generation systems including behavior modification. You will work across disciplines starting from a mechanistic understanding of CGM sensor technology —biomedical signal processing, embedded systems, cloud infrastructure, and physiologically-grounded models—to ensure seamless integration from sensor to insight and action. Your work will directly impact the development of intelligent platforms that monitor, predict, and improve metabolic health outcomes. Algorithmic System Design Lead the development of end-to-end algorithmic pipelines integrating sensor data, physiologic and behavioral models, and cloud-based inference. Architect modular, scalable systems that support real-time and longitudinal analysis of metabolic signals. Physiologic Modeling Adapt in-silico models to create large data sets (e.g., glucose-insulin dynamics) for robust testing including edge cases. Develop simulators of analyte sensor data that incorporate models of physiologic and sensor artifacts, and failure modes. Translate models into robust algorithms that can be applied across the product portfolio. Sensor Integration & Signal Processing Develop algorithms for preprocessing, feature extraction, and anomaly detection from biosensor data. Build physics-based, first-principles models to predict sensor behavior Collaborate with hardware and firmware teams to define sensor requirements and signal conditioning strategies. Cross-Platform Integration Leverage and build models of therapy delivery systems to optimize integrated systems, including accuracy, safety, and tight control. Technical Leadership Serve as a technical lead and mentor within the algorithm engineering team. Drive best practices in model validation, system testing, and performance optimization. What makes you successful: MS or PhD in Biomedical Engineering, Electrical Engineering, Computer Science, or related field. 8+ years of experience in algorithm development, systems integration, or health tech engineering. Expertise in physiologic modeling, biosignal processing, and sensor-based systems. Strong proficiency in Matlab, Python, and cloud-native development tools. Experience with metabolic health applications, wearable devices, or digital therapeutics is highly desirable. Proven ability to lead cross-functional technical initiatives and mentor junior engineers. Very strong interpersonal and teamwork skills Education and Experience: Typically requires a Bachelor's degree in a technical discipline, and a minimum of 13+ years related experience or a Master's degree and 8+ years equivalent industry experience or a PhD and 5+ years of experience. 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% 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 talentacquisition@dexcom.com. 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 talentacquisition@dexcom.com. 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 To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications. Salary: $164,200.00 - $273,600.00

Responsibilities

Lead the design and development of algorithms for next-generation diabetes and metabolic health systems. Ensure seamless integration from sensor to insight and action, impacting intelligent platforms that monitor and improve metabolic health outcomes.