Director Software Development Engineer
RadNet
Director Software Development Engineer
RadNet
Outpatient radiology imaging centers with AI
Job Summary
As Director of Software Development Engineering, you will lead the engineering organization responsible for building and scaling DeepHealth’s platform and products. You will drive technical strategy, architecture decisions, and engineering excellence across multiple teams, ensuring delivery of high-quality, reliable software that supports our mission in health technology.
Operating as a strategic partner to product, clinical, and business leadership, you will shape the engineering roadmap, cultivate a strong engineering culture, and build scalable systems and teams. You will also recruit, develop, and retain top engineering talent, ensuring strong execution and measurable impact on business outcomes.
Essential Duties and Responsibilities
Engineering Strategy & Technical Leadership
Product Delivery & Engineering Execution
Cross-Functional Collaboration & Stakeholder Alignment
Team Leadership & Organizational Impact
Innovation & Engineering Culture
PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.
Minimum Qualifications, Education and Experience
Quality Standards
Travel
This position requires domestic / international travel up to 10%.
Working Environment
Remote
Physical Demands
This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally.
I have read and understand the responsibilities and requirements of the position.
Salary range of $198,000 to $262,000 depending upon experience.
RadNet runs a network of 350 outpatient radiology centers across seven states, providing advanced imaging services to patients. Its core offerings include diagnostic imaging (such as X-ray, CT, MRI, and other modalities) performed at clinics and interpreted by radiologists. The company combines imaging technology with artificial intelligence to improve diagnostic accuracy and speed, supporting healthcare providers, patients, regulators, and payers. Revenue comes from patient fees and partnerships with healthcare institutions. RadNet differentiates itself through scale (a large, nationwide outpatient imaging network), ongoing investment in technology and AI, and a focus on standardizing high-quality imaging across its centers. The company’s goal is to expand access to precise, efficient radiology services and to maintain leadership in imaging quality and research by continuously adopting best practices and pioneering radiology-related innovations.
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