Staff Embedded Software Engineer, Iterative Health

• The ideal candidate will have deep experience with Ubuntu/Linux, computer vision, cybersecurity, and the design of automated testing infrastructures
• Familiarity with Software as a Medical Device (SaMD) standards is a plus, but not the primary focus of the role
• Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience)
• 7+ years experience leading complex software systems from start to finish and across multiple release cycles. Including conceptualization, deployment, integration, monitoring, and upgrades
• Proven experience in full stack software engineering and AI model deployment
• Deep expertise in Linux, and hardware/software co-design
• Proficiency in Python and Modern C++ for system-level programming and hardware API integration
• Experience with computer vision tools (OpenCV, PyTorch) and edge AI deployment (TensorRT, DeepStream)
• Hands-on experience building automated testing infrastructures for complex, distributed systems
• Experience participating in root cause analysis and effective investigation practices

Desirable

• We are seeking a Staff Software Engineer specializing in embedded software development with a strong emphasis on edge AI deployment, computer vision hardware integration and IoT
• In this role, you will own and drive innovation at the intersection of AI and high-performance hardware
• You will lead all aspects of software design and delivery including high level architecture design, implementation, testing, and maintenance in accordance with Iterative Scopes Software Development standards
• Develop and optimize software that interfaces with CV hardware like GPUs and video capture cards, enabling high-performance data processing
• Deploy and optimize AI models and computer vision pipelines (OpenCV, PyTorch,TensorFlow, ONNX Runtime) on edge devices and IoT endpoints
• Architect and implement secure, robust IoT systems, ensuring reliable communication and data flow between distributed devices and central platforms
• Implement security best practices for device firmware, network communication, and data storage, ensuring compliance with industry standards and protecting IoT ecosystems
• Design and maintain testing frameworks to automate unit, module and system level tests to ensure quality and reliability of software
• Work with hardware, ML, DevOps, QA, RA, and product teams to deliver integrated, high-performance solutions. Ensure SW development complies with regulatory requirements
• Proactively manage and resolve issues by engaging the appropriate internal teams when needed to help resolve issues with the device or external stakeholders
• Researches current technology trends and makes recommendations for the overall technical direction of product development