Job Description

Job Title:

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Lead Software Architect – Endoscopy Platform

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Department:

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Research & Development – Endoscopy

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Location:

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Vapi, Gujarat.

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Reports To:

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Head – R&D;

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Job Purpose:

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To define, architect, and lead the development of next-generation software platforms for flexible endoscopy systems, including video processors, camera systems, imaging applications, connectivity solutions, AI-enabled workflows, and embedded software frameworks. The role is responsible for establishing scalable, secure, high-performance, and regulatory-compliant software architectures that support current and future endoscopy products while ensuring superior clinical visualization, interoperability, reliability, and maintainability.

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Key Responsibilities:

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1. Software Architecture & Platform Strategy

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- Define and own the overall software architecture for endoscopy imaging platforms.
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- Establish scalable software frameworks supporting multiple product families and future technology roadmaps.
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- Design modular and reusable software architectures that reduce development effort and improve maintainability.
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- Define system partitioning across embedded processors, FPGA platforms, operating systems, middleware, and application layers.
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- Develop software platform strategies supporting HD, Full HD, 4K, and future imaging technologies.
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- Drive architectural decisions balancing performance, scalability, cybersecurity, safety, and regulatory requirements.
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2. Endoscopy Imaging & Video Platform Architecture

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- Architect real-time video acquisition, processing, recording, streaming, and display systems.
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- Define software frameworks for image enhancement and clinical visualization technologies.
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- Collaborate with imaging scientists and algorithm teams for integration of:
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- Noise Reduction
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- White Balance
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- Color Enhancement
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- Agile Contrast Optimization
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- Digital Zoom
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- Image Stabilization
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- Image Sharpening
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- AI-Assisted Visualization
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- Define low-latency video processing pipelines for clinical applications.
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- Support integration of future AI and computer vision technologies into endoscopy platforms.
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3. Embedded & System Software Architecture

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- Architect software solutions for Linux-based and RTOS-based embedded platforms.
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- Define software interfaces for:
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- CMOS Image Sensors
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- FPGA Platforms
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- Video Processors
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- Light Source Systems
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- Camera Control Units
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- Storage Devices
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- User Interface Systems
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- Establish hardware abstraction layers (HAL), middleware frameworks, and application software structures.
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- Define system startup, diagnostics, health monitoring, and fault management architectures.
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- Drive software optimization for performance, memory utilization, and reliability.
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4. Connectivity,



Interoperability & Digital Platforms

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- Architect secure communication frameworks for connected endoscopy systems.
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- Define integration strategies for:
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- USB 3.0
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- Ethernet
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- Wi-Fi
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- Bluetooth
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- TCP/IP
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- Cloud Platforms
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- Support interoperability with hospital information systems and digital healthcare ecosystems.
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- Establish frameworks for remote diagnostics, software updates, and serviceability.
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- Define cybersecurity architectures aligned with medical device security requirements.
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5. AI, Computer Vision & Advanced Visualization

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- Define architecture for AI-assisted endoscopy applications.
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- Support integration of:
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- Lesion Detection
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- Polyp Detection
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- Tissue Classification
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- Computer Vision Algorithms
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- Clinical Decision Support Systems
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- Collaborate with AI and data science teams to deploy machine learning models in real-time clinical environments.
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- Establish software frameworks for future intelligent endoscopy solutions.
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6. Software Quality, Safety & Regulatory Compliance

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• Ensure software architecture compliance with:

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- IEC 62304
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- IEC 60601-1
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- IEC 60601-1-2
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- ISO 13485
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- ISO 14971
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- FDA Design Controls
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- EU MDR
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- Medical Device Cybersecurity Guidelines
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- Participate in risk analysis, hazard assessments, and software safety classifications.
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- Define software lifecycle processes, traceability frameworks, and quality metrics.
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- Support regulatory submissions, audits, and technical documentation activities.
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7. Technical Leadership & Engineering Governance

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- Lead architecture reviews and technical decision-making across software teams.
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- Establish coding standards, software development methodologies, and design best practices.
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- Mentor software architects, technical leads, and development teams.
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- Review software requirements, architecture documents, design specifications, and implementation plans.
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- Drive adoption of modern software engineering practices including DevOps, CI/CD, automated testing, and model-based development.
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- Support technology evaluation and strategic product planning initiatives.
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8. Cross-Functional Collaboration

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- Collaborate with hardware, FPGA, optics, mechanical, quality, regulatory, manufacturing, and clinical teams.
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- Participate in product definition, system engineering, and technology roadmap planning.
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- Support supplier evaluation and third-party software integration activities.
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- Contribute to innovation programs, intellectual property generation, and strategic partnerships.
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Qualifications and Experience:

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- B.E. / B.Tech in Computer Science, Electronics, Embedded Systems, Software Engineering, Biomedical Engineering, or related discipline.
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- M.E. / M.Tech / MS preferred.
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- 12–18+ years of experience in software development and architecture for embedded systems, imaging platforms, medical devices, or complex real-time systems.
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- Minimum 5+ years in software architecture or technical leadership roles.
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- Experience in endoscopy, medical imaging, surgical visualization, robotics, diagnostic imaging, or healthcare technology preferred.
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- Proven experience architecting large-scale software platforms from concept to commercialization.
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Skills and Competencies:

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- Expert-level proficiency in C++, C, Python, and object-oriented software architecture.
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- Solid understanding of Linux-based embedded systems and RTOS platforms.
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- Expertise in software design patterns, middleware frameworks, and distributed systems architecture.
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- Experience with OpenCV, GStreamer, FFmpeg, OpenGL, Qt, and multimedia frameworks.
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- Strong understanding of image acquisition, video processing, and real-time streaming technologies.
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- Experience with FPGA-software integration and hardware-software co-design.
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- Knowledge of cybersecurity principles for connected medical devices.
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- Familiarity with cloud architectures and digital health ecosystems.
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- Strong understanding of DevOps, CI/CD, automated testing, and software quality assurance practices.
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- Excellent leadership, communication, stakeholder management, and mentoring skills.
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- Strong analytical and problem-solving capabilities.
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Preferred Industry Experience:

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- Flexible Endoscopy
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- Surgical Visualization Systems
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- Medical Imaging Platforms
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- Robotic Surgery Systems
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- Diagnostic Imaging Equipment
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- Camera and Video Processing Systems
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- AI-Enabled Medical Devices
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- Digital Healthcare Platforms
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Key Performance Indicators (KPIs):

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- Successful delivery of software platform architecture and roadmap objectives.
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- Platform scalability and software reuse across product families.
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- Video processing performance and latency achievement.
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- Software reliability, maintainability, and defect reduction.
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- Regulatory and cybersecurity compliance readiness.
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- On-time execution of architecture milestones.
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- Reduction in development cycle time through platform standardization.
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- Successful integration of AI and advanced visualization technologies.
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- Technical leadership effectiveness and team capability development.
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- Contribution to innovation, patents, and future technology platforms.
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📌 Endoscopy Software Developer (Vapi)
🏢 Meril
📍 Vapi