Cleerly is seeking to revolutionize heart disease diagnosis and treatment through AI-driven precision diagnostic solutions. The Director of Software Engineering will lead the development, deployment, and scaling of advanced machine learning systems to improve diagnostic and prognostic care pathways for heart disease.
Requirements
- 12+ years of relevant engineering experience building modern cloud systems, plus 5-6 years of management experience.
- 3+ years medical imaging and/or digital health platform development experience.
- Deep familiarity with backend software engineering best practices and supporting cloud-based applications at scale with a drive for high quality codebase.
- Demonstrated experience building software in a regulated environment and familiarity with relevant standards and guidelines.
- Experience with ML orchestration frameworks and ML training platforms.
- Strong domain knowledge in cardiac CT and coronary artery disease diagnostics.
- Experience contributing to 510(k) submissions or working in a regulated SaMD development environment.
Responsibilities
- Lead the development, deployment, and scaling of advanced machine learning systems that directly impact the diagnostic and prognostic care pathways for heart disease.
- Provide technical leadership and people management for an AI software team to build cloud-based software systems and related infrastructure that support a wide range of products.
- Design and implement complex software components and drive the architecture of our products for reviewing, managing, and processing cardiovascular data from ideation through regulatory approval and release.
- Build and maintain Software as a Medical Device (SaMD) software solutions for large-scale clinical problems and document the design and specifications for internal and regulatory documentation.
- Develop software systems and infrastructure with focus on design, construction, maintenance, extensibility, integration, and security of data storage and retrieval and integration with machine learning models.
- Conceptualize and implement comprehensive data management and model training infrastructure for multiple large-scale projects.
- Design sophisticated data models and tools for data routing, accessibility, normalization, and querying.
Other
- Bachelor’s degree in engineering, or relevant engineering experience.
- Excellent ability to engage technical and non-technical audiences via strong written, verbal, and visual communication skills.
- Exceptional analytical and problem solving skills and ability to succeed in a fast-paced environment while managing projects with competing priorities.
- Strong organizational skills; ability to remain organized and productive in a fast-paced work environment with competing priorities.
- A passion for leading, mentoring, and motivating engineers in a remote-first, agile team environment.
