Medical Device Software Engineer

Omnisource Technologies was founded in 2007 on the belief that great teams can change the world. Today, we partner with ambitious startups and global enterprises to solve complex, high-impact product and engineering challenges. Our work is driven by a commitment to product quality, engineering excellence, and user experience.

Job Summary

We’re looking for a Medical Device Software Engineer to help bring the R2 platform from prototype to clinical deployment. You’ll work closely with hardware engineers to build software for a next-generation imaging system running on NVIDIA Jetson hardware and the Holoscan SDK.

The platform integrates multimodal cameras (RGB, SWIR, thermal, and depth) with real-time image processing and AI to give clinicians unprecedented insight into wound pathology. In this role, you’ll design high-performance imaging pipelines, develop AI-driven analysis tools, and help create a clear, intuitive clinical interface—while ensuring the software meets IEC 62304 standards for FDA Class II medical devices.

Core Responsibilities

• Design and implement real-time imaging software that captures, synchronizes, and processes data from multiple camera modalities (RGB, SWIR, thermal, ToF) to support precise wound assessment
• Develop AI/ML pipelines for wound analysis, including segmentation, inflammation assessment, moisture/exudate detection, tissue oxygenation mapping, and healing progression
• Build and maintain a clinician-facing dashboard with multimodal visualizations, trend analysis, and AI-generated insights
• Optimize performance for embedded deployment on NVIDIA Jetson AGX Orin, ensuring low-latency, reliable real-time operation

Integration & Compliance

• Integrate software with custom hardware including multi-camera synchronization, calibration routines, LED illumination control, and network timing
• Collaborate closely with hardware and systems engineers to align software with evolving platform requirements and support future scalability
• Develop software in accordance with IEC 62304 and FDA Class II requirements
• Contribute to design documentation, risk analysis, and verification/validation activities required for regulatory clearance

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Biomedical Engineering, or a related field
• 3+ years of experience developing embedded or systems-level software
• Strong experience with real-time image processing and computer vision
• Proficiency in Python and C++ for performance-critical systems
• Experience deploying software on embedded Linux platforms (NVIDIA Jetson preferred)
• Familiarity with NVIDIA Holoscan SDK or similar real-time sensor fusion / streaming frameworks
• Familiarity with medical device software development practices and regulatory standards (IEC 62304, FDA Class II)
• Strong documentation and communication skills, especially in regulated environments

Technical Strengths (one or more of the following)

• Experience with NVIDIA Jetson, CUDA, TensorRT, or similar accelerated computing platforms
• Experience with multimodal imaging systems (RGB, thermal, SWIR, depth)
• Hands-on work with AI/ML models for medical or scientific imaging
• Experience with camera SDKs and multi-camera synchronization
• Knowledge of calibration techniques for imaging systems

Nice-to-Have

• Experience building clinician-facing dashboards using Qt, Electron, or modern web frameworks
• Comfort working with hardware prototypes, networking (10GigE), and programmable illumination systems
• Background in wound care, dermatology, or clinical imaging
• Experience supporting or leading FDA clearance for a medical device
• Certification in medical software development (AAMI TIR45 or equivalent)

Reasons to work with us

• Work on a product with real, measurable impact on patient care
• Be part of a small, highly skilled team solving genuinely hard problems
• Competitive compensation and flexible working arrangements
• Direct collaboration with hardware and clinical experts
• Ownership, autonomy, and the ability to shape a product from early-stage to clinical deployment
• Open, transparent communication and a strong engineering culture