Signal Processing Research Engineer

About Circadia Health
Circadia Health is a growth-stage healthcare harwdare & AI company on a mission to prevent avoidable hospitalizations and transform senior-care operations. Our AI Care System combines:

• Contactless sensing that monitors respiration and motion with medical-grade accuracy — powered by our own in-house-designed monitoring devices, developed from the radar hardware up

• Native predictive models that detect 85% of preventable adverse events several days in advance

• Enterprise integrations that operationalize predictions directly inside EHR, care-coordination, billing, and compliance workflows

Today, our technology touches 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks. Because we build our own sensing hardware and the algorithms that run on it, our signal processing work reaches from raw radar waveforms all the way to clinical decisions. We are backed by leading healthcare and AI investors, with offices in Los Angeles and London.

We're looking for a research engineer with deep signal processing expertise to develop the algorithms that turn raw sensor data into clinically meaningful measurements. You'll work across the full path from research to deployment — from novel algorithm development through validation on clinical data to implementation on embedded devices in a shipping product, in close collaboration with the team designing our sensing hardware.

Develop novel signal processing algorithms for Circadia's contactless monitoring system (radar and other sensors)

Research signal processing techniques — and, where useful, machine learning — to extract clinically relevant features from sensor data

Process data from clinical studies to develop and validate product features

Prepare algorithm documentation for regulatory compliance and IP protection

Implement algorithms for execution on embedded devices

Work with the Product, Clinical Research and Engineering teams (Algorithms, Data Science, Electronics, Firmware) to align on requirements

Provide regular progress updates and reports to management

MSc or PhD in signal processing, electrical engineering, biomedical engineering, or a related field

Strong, demonstrable expertise in signal processing — this is the core of the role

Industry work experience as an algorithm or signal processing engineer (beyond academic research)

A track record of building algorithms that have been deployed in real products — not solely offline processing of research datasets

Experience working with biosignals or physiological sensor data

Experience with sensor characterization and configuration

Comfortable across the research-to-deployment path, including implementing algorithms on embedded/constrained devices

Able to communicate clearly across research, clinical and engineering teams

Familiarity with machine learning, or experience combining signal processing and ML approaches

Experience with radar or other contactless sensing

Familiarity with medical device regulatory requirements or working in a regulated environment