Staff Algorithm Engineer - Advanced Sensing Algorithms

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:

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.

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 8-12 years related experience or Master’s degree and 5-7 years equivalent industry experience or a PhD and 2-4 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.

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=MERITAINI&brandCode=MERITAINOVER/machine-readable-transparency-in-coverage?reportingEntityType=TPA19874&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.

Conditions

$135,100.00 - $225,100.00

DexcomUS