Senior Solution Architect – Medical Devices

Required Qualifications

• Domain expertise and proven hands-on experience applying accelerated computing and AI in one or more medical device areas, such as medical imaging, digital surgery, surgical data science, image-guided intervention, patient monitoring, or clinical workflow applications. Familiarity with clinical workflows, interventional and/or surgical procedures is a plus.
• Several years of industry experience in the medical device development life cycle, including research, technical project leadership, product development, or developing software in regulated environments. Understanding of regulatory requirements (e.g., HIPAA) and data privacy concerns specific to healthcare data.
• Extensive deep learning knowledge with practical experience in frameworks and model architectures (e.g., CNNs, LLMs, VLMs), medical image and video analysis, segmentation, detection, multimodal clinical AI, and training from simulation or Digital Twins. Proficiency in deploying AI models and optimizing inference using TensorRT, ONNX Runtime, Triton, or TensorRT-LLM is a plus.
• Proven experience implementing and optimizing workloads with CUDA and Nsight Tools. Experience with high performance networking technologies, e.g. DPDK, DOCA, RMDA, RoCEv2 is a plus.
• Published record of thought leadership in a technical area or industry segment.