Sr. Embedded Algorithms Engineer

United StatesRemoteFull Timesenior

OtherEngineer

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Overview

The future of healthcare is here. Join us to shape the future of healthcare for patients and clinicians.

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OtherEngineer

The future of healthcare is here. Join us to shape the future of healthcare for patients and clinicians. BioIntelliSense is helping to decode human physiology and pioneer a new standard of proactive monitoring to improve healthcare outcomes and save lives.

Our FDA-cleared and award-winning BioButton® multiparameter wearables, BioHub™ gateways, BioMobile™ downloadable applications, BioCloud™ data services and the BioDashboard™ clinical intelligence system creates a comprehensive tech-enhanced solution that makes continuous monitoring reliable and scalable. Through our physiologic intelligence and AI-driven analytics, clinicians have access to high-resolution vital sign trending and data-driven insights to enable earlier detection of patient deterioration and proactive intervention for better, safer care.

We’re a remote-first, lean start-up environment and our global BioTeam colleagues are growth-oriented, collaborative and passionate about our mission and the future of BioIntelliSense. We thrive in a fast-paced environment and embrace challenges as opportunities to shape the future, together.

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The Sr. Embedded Algorithm Engineer will prototype and implement algorithms on BioIntelliSense’s devices, in order to extract core vital signs. Having high quality data at this stage is essential for the enablement of downstream clinical intelligence. Being able to successfully deliver on product requirements in a timely manner is necessary to the company’s success.

Prototype algorithms:

-- Research novel methods for vital sign signal extraction using high frequency sensor data

-- Work with product team to define algorithm requirements and test metrics

-- Iterate rapidly to develop algorithm prototypes and communicate performance tradeoffs

Productize algorithms:

-- Port algorithms to C and optimize computations to meet processor and power constraints

-- Develop test protocols for data collection team, and perform QA to ensure the product meets the requirements

Contribute to team infrastructure:

-- Ideate new tools to automate algorithm benchmarking and testing to improve team efficiency

PhD or MS in EE, CS, or related engineering field

5+ years experience in signal processing and algorithm design

Experience with fixed-point time-series data