Full-Time

Head of Engineering

Confirmed live in the last 24 hours

Cardiosense

Cardiosense

11-50 employees

Non-invasive cardiac monitoring platform using AI

No salary listed

Expert

Chicago, IL, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Kubernetes
Microsoft Azure
Data Science
Docker
CloudFormation
Microservices
AWS
Terraform
Google Cloud Platform
Requirements
  • Engineering management including hands-on operations experience within a full-stack medical device company including class II/III devices, mobile gateways, mobile/desktop apps, cloud infrastructure, and data science
  • 10+ years SW development experience along with 5+ years of experience managing development teams through full product lifecycle: from concept, through commercialization, to production maintenance
  • Strong experience with microservices/containerization (e.g. Docker, Kubernetes etc.), infrastructure automation tools (e.g. Terraform, CloudFormation, etc.), and public cloud service providers (e.g. GCP, Azure, AWS)
  • Strong desire to lead and develop junior team members
Responsibilities
  • Lead design, architecture, and development of software platform roadmaps
  • Hire, coach, and groom a strong engineering organization optimized for lean, iterative, product development cycles
  • Collaborate with product teams to translate user workflows into technical specifications and design implementations
  • Develop and manage development budgets, resources, and timelines to ensure successful project delivery
  • Directly manage the internal engineering team for development of software infrastructure. Oversee mechanical and electrical teams related to the development of wearable biosensor device
  • Manage design and deployment of ML infrastructure from data ingestion to model deployment, supporting AI development from early feasibility to production rollout
  • Define and implement agile software best practices, release management, CI/CD, code review, unit testing, and testing automation
  • Ensure compliance with all relevant data privacy and cybersecurity standards
  • Mentor and train team members on design techniques, systems architecture, and coding standards
Desired Qualifications
  • Experience working with IoT devices, health data, and digital signal processing
  • Familiarity with model deep learning tools such as TensorFlow and PyTorch
  • Working in regulated environments (e.g. FDA, ISO 270001, 13485, 62304, HIPAA, SOC2, etc.)
  • Experience with HL7, Smart on FHIR and Mirth Interface Engine

Cardiosense is focused on improving cardiac care through a non-invasive monitoring platform that uses biometric sensors and artificial intelligence to analyze heart activity. The platform captures the electromechanical behavior of each heartbeat, allowing for early detection of heart function decline. This enables healthcare providers to identify at-risk patients and take proactive measures to prevent serious cardiac issues. Unlike traditional methods that require invasive procedures, Cardiosense's solution is safer and easier for continuous patient monitoring. The company targets hospitals and clinics, generating revenue through the sale of wearable devices and subscription services for its analytics platform. The goal is to provide actionable insights that enhance patient care and improve recovery outcomes, with the technology currently in investigational use.

Company Size

11-50

Company Stage

Series A

Total Funding

$15.1M

Headquarters

Chicago, Illinois

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Cardiosense raised $15.1M in Series A funding to accelerate product development.
  • The global cardiac monitoring market is projected to grow at a 7.5% CAGR until 2030.
  • Recent FDA approvals of AI tools suggest a favorable regulatory environment for Cardiosense.

What critics are saying

  • Increased competition from Apple and Fitbit could threaten Cardiosense's market share.
  • Regulatory hurdles may delay broader market entry and expansion for Cardiosense.
  • Continuous funding is needed for R&D, posing financial risks if future rounds fail.

What makes Cardiosense unique

  • Cardiosense offers a non-invasive cardiac monitoring platform using AI and biometric sensors.
  • Their platform detects early signs of cardiac decline before symptoms appear.
  • Cardiosense's technology provides actionable insights for personalized patient care.

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Benefits

Hybrid Work Options

Relocation Assistance

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-3%

2 year growth

14%
VC News Daily
Dec 8th, 2022
Cardiosense Receives $15.1M Series A Round

Cardiosense Receives $15.1M Series A Round Back to HomeCHICAGO, IL, Cardiosense announced that it has raised $15.1 million in Series A funding.Cardiosense, a digital health company leveraging artificial intelligence and multi-sensor devices to enable early detection of cardiovascular disease, announced today that it has raised $15.1 million in Series A funding, co-led by Broadview Ventures and Hatteras Venture Partners, with participation from Laerdal Million Lives Fund, OSF Ventures, UnityPoint Health Ventures, and Portal Innovations. The capital will be used to support team expansion, accelerate product development, and fund an expansive heart failure study.Cardiosense is building a physiological waveform AI platform to develop predictive biomarkers to detect and manage cardiac disease. The Company has developed a suite of novel digital tools, multi-sensor devices, and analysis algorithms to detect early signs of cardiovascular disease, inform personalized therapy, and improve patient outcomes.(c)2011-2020 by Massinvestor, Inc. For contact info, please check out our about page