🕒 7 days ago
Build and operate large-scale search, data, and model-serving infrastructure, including web-scale indexes, structured data sources, and pipelines that support research, data generation, and critical training runs.
Signal Processing Research Engineer
📅 Aug 19
Signal ProcessingRadar SensingContactless SensingMachine Learning
📜 Description
- Develop signal-processing algorithms for contactless monitoring using radar and other sensors.
- Research signal-processing and, where useful, machine-learning methods to extract clinically relevant features.
- Process clinical-study data to develop and validate product features.
- Document algorithms for regulatory compliance and intellectual-property protection.
- Implement algorithms on embedded devices and collaborate with Product, Clinical Research, and Engineering teams.
- Provide progress updates and reports to management.
🛠️ Requirements
- 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
Full job description
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:
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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
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Native predictive models that detect 85% of preventable adverse events several days in advance
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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.
About the Role
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.
What you'll do
About you
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