Principal Architect - Molecular Imaging Software

About the role

As the Molecular Imaging (MI) Principal Architect, you will lead the software architectural vision and execution for MI PET and SPECT systems. The role shapes the software architecture behind MI products so that they are scalable, secure and clinically impactful, working across engineering, systems and clinical teams.

Key responsibilities

• Lead technical architecture discussions across MI software subsystems and products, define and evolve the architecture of MI software platforms while integrating legacy systems with modern design principles.
• Develop architectural roadmaps aligned with product strategy and clinical needs, and review and approve critical design decisions and system-level tradeoffs.
• Take part in architecture governance and ensure compliance with design controls and regulatory standards such as IEC 62304.
• Evaluate emerging technologies, drive software modernization, and work with the Imaging Architect Office and systems teams to define the long-term technology runway for PET/SPECT.
• Lead the design, implementation and governance of safe, compliant agentic AI use across the software development life cycle.
• Partner with systems engineering, clinical applications and hardware teams, guide early-stage stakeholder engagement and align global teams on architectural direction and technical standards.
• Ensure architecture supports operational stability, serviceability and lifecycle cost, and mentor staff and engineers while contributing to the technical career path.

Required profile

• Bachelor's degree in Computer Science, Software Engineering or a related field.
• At least 15 years of experience in software engineering and architecture, building software for medical equipment products.
• Proven experience architecting complex, distributed systems in a modality-specific context.
• Strong interpersonal and change management skills, with the ability to set technical direction, mentor engineers and build consensus.

Desired characteristics

• Experience with high-performance, real-time systems including GPU-based computation.
• Proven ability to design for secure AI use.
• Deep understanding of molecular imaging workflows (acquisition, reconstruction and image processing).
• Strong knowledge of healthcare interoperability standards (DICOM, HL7).