Senior Algorithm Engineer – Sensing Algorithms

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee the creation of sophisticated algorithms that enhance next-generation glucose sensing technologies.

• Develop models that are physics-based, mechanistic, and data-driven to analyze sensor behavior and enhance measurement accuracy.

• Design and execute algorithms for signal processing, estimation, calibration, detection, and predictive analysis.

• Utilize statistical modeling, machine learning, and data analytics to derive insights from a variety of datasets including bench, preclinical, clinical, and real-world data.

• Lead clinical performance evaluations and the advancement of algorithms in partnership with sensor, systems, hardware, firmware, clinical, and product teams.

• Assess algorithm efficacy through simulation, modeling, and experimental analysis.

• Offer technical expertise regarding algorithm architecture, design trade-offs, verification methods, and implementation strategies.

• Recognize opportunities to enhance overall system efficiency and resource utilization.

• Assist in transferring algorithm designs to firmware, verification, and validation teams.

⛳️ Requirements

• PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Computer Science, Biophysics, Statistics, or a related discipline with 2 years of industry experience; or a Master's degree in a related field with 2-5 years of relevant experience.

• Advanced proficiency in Python, MATLAB, C/C++, or comparable technical computing environments.

• Extensive knowledge in statistical estimation, signal processing, optimization, and mathematical modeling.

• Strong grasp of machine learning methodologies and practical model development.

• Proven experience in developing algorithms for sensing technologies, measurement systems, medical devices, or associated fields.

• Experience in analyzing large and intricate datasets with multiple signals and dependencies.

• Exceptional written, verbal, and presentation communication abilities.

• Capability to excel in dynamic, fast-paced technical settings.

• Preferred: Familiarity with biosensors, physiological sensing, wearable systems, or analytical instrumentation.

• Preferred: Experience with calibration, estimation, filtering, or measurement system algorithms.

• Preferred: Background in transitioning algorithms from research to commercial products.

• Preferred: Strong software engineering practices in data-driven application development.

• Preferred: Understanding of design controls, verification and validation processes, and product development lifecycles.

• Preferred: Record of publication, patents, or demonstrated innovation.

🏝️ Benefits

• A comprehensive and extensive benefits package.

• Opportunities for growth on a global scale.

• Access to career development through internal learning programs and/or qualified tuition reimbursement.

• An exciting and innovative organization at the forefront of the industry, committed to our employees, customers, and the communities we serve.