Define and lead end-to-end system architecture across embedded devices, connectivity layers, cloud services, analytics platforms, and healthcare integrations
Decompose complex systems into domains, services, and works with clear architectural ownership, responsibilities, and lifecycle boundaries
Define interface contracts, data models, and message flows using industry standards such as HL7, IHE, FHIR, JSON, and XML
Ensure architectural consistency and reuse across platforms while supporting product-specific constraints and regulatory contexts
Drive architectural tradeoff decisions balancing safety, performance, scalability, maintainability, and regulatory risk
Provide architectural leadership across RTOS-based embedded systems running on ARM platforms
Define cohesive device, edge, and cloud interaction models, including buffering, resilience, fault handling, and offline behavior
Architect cloud-based solutions using Azure and AWS, including event-driven, service-oriented, and data pipeline architectures
Guide technology selection and evolution while ensuring backward compatibility and long-term maintainability
Define system architectures that enable AI and advanced analytics across interoperability data, device telemetry, alarms, and clinical workflow signals
Partner with data science teams to define data quality requirements, labeling strategies, model lifecycle management, and deployment boundaries (edge vs cloud)
Define cybersecurity architecture aligned with NIST, ISO/IEC 27001, FIPS, HIPAA, and FDA guidance
Ensure system architecture supports verification, validation, and traceability across all architectural layers.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Biomedical Engineering, or related field
15+ years of experience in software, systems, or integration architecture, with demonstrated leadership in healthcare or medical device interoperability
Proven experience leading architecture for large-scale, distributed, system-of-systems solutions in regulated domains
Strong systems thinking with the ability to reason across devices, software, data, users, and clinical workflows
Excellent written and verbal communication skills with the ability to influence without authority
Deep expertise in system and software architecture, architectural patterns, and domain-driven design
Strong experience with embedded RTOS-based systems integrated into enterprise and cloud ecosystems
Experience with interoperability standards including HL7, IHE, FHIR, JSON, and XML
Programming experience in C, C++, Python, JavaScript, or similar languages
Hands-on or architectural experience with AI, analytics, or data platforms in regulated or safety-critical systems
Knowledge of cybersecurity frameworks such as NIST, OWASP, MITRE, and FIPS
Experience working in Agile or hybrid development environments.

Benefits

Health insurance
401(k) matching
Paid time off
Professional development opportunities
Remote work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

system architectureembedded systemsRTOScloud architectureAIdata analyticsprogramming in Cprogramming in C++programming in Pythonprogramming in JavaScript

Soft Skills

leadershipsystems thinkingcommunicationinfluence without authority