Senior Artificial Intelligence Engineer

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

Medtronic Digital Technologies is creating ambitious new products that bring connectivity, real-time guidance, and decision support to the operating room. To support this mission, we are developing compact, high-performance, embedded systems that enable edge computing and connectivity. Working closely with other teams across Medtronic, we are creating a connected ecosystem and leveraging the state of the art in computer vision to provide the most comprehensive view of surgery. If you’re interested in using cutting-edge technology to improve the standard of care in surgery on a global scale, this could be the place for you.

As a Senior Artificial Intelligence Engineer, focused on algorithm optimization, you will help to design, implement, and optimize Machine Learning models to achieve low latency on edge and cloud devices. You will become part of a talented team exploring new concepts through fast iterative prototyping. You will collaborate as an AI optimization expert with our other machine learning engineers, platform engineers, embedded software engineers and research experts of the team.

• →Benchmarking and optimizing different existing network architectures and their latency in different target platforms.
• →Further re-designing or optimizing existing network architectures to improve their forward flow and reduce latency.
• →Developing production pipelines in the cloud or edge devices to process surgical videos in real-time with our optimized models.
• →Delivering well-written and high-quality code.
• →Sharing results during regular meetings.
• →Staying updated with state-of-the-art methods and propose novel approaches for problems at hand (we try to devote time to do research and share it with the team).

• A Master or PhD in, Computer Science, Mathematics, Computer Vision/Machine Learning or similar related field.
• Proven ability to design and build computer vision networks using Pytorch.
• Knowledge of different optimization methods (e.g. pruning, sparsity, quantization etc..).
• Experience with AI optimization tools (e.g. TensorRT).
• Very knowledgeable in Python and relevant numerical libraries (numpy, scikit-learn, opencv, etc.).
• Experience with CI/CD pipelines.
• Computer Vision.

• Advanced knowledge on AI-based optimization methods (QAT, Knowledge Distillation, Network Sparsification etc..).
• Knowledge of AWS cloud and experience with their services (EKS, ECS, ...) and docker.
• Knowledge of C++ and CUDA, and ideally experience writing custom kernels / operators.
• Data visualization experience would also be useful for this role.
• Excellent communicator - You are comfortable talking with programmers, marketers, surgeons, business leaders, and everyone in-between.
• Experience of working in video processing or equivalent performance sensitive or high-performance applications.

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

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