Senior Solution Architect - Medical Devices

Position Overview

• Location Type: [Not specified]
• Job Type: Full time
• Salary: [Not specified]

At NVIDIA, we are committed to advancing healthcare through innovation. As a Senior Solutions Architect for Medical Devices, you will be at the forefront of this transformation by collaborating with medical device customers, developers, scientists, and academic and industry thought leaders across EMEA to harness the full capabilities of AI and accelerated computing. NVIDIA's Solution Architects are esteemed developers and scientists who excel in leveraging the latest AI and accelerated computing technologies. Our machine learning, deep learning, and high-performance computing platform has profoundly influenced the healthcare sector, with wide adoption from leading medical device manufacturers, academic medical centres, pharmaceutical companies, and startups.

In this role, you will serve as a trusted technical advisor and leader, working with our customers who recognize the transformative potential of accelerated computing and artificial intelligence in the healthcare domain. You will develop innovative proof-of-concept demonstrations and establish strategic relationships with key executives to advocate for the integration of AI and accelerated computing at both the edge and in the cloud. By engaging with a diverse group of developers, researchers, data scientists, and IT leaders, you will contribute to impactful projects and help shape the narrative of AI in healthcare.

The ideal candidate is passionate about AI and accelerated computing in medical devices and robotics, possesses industry experience in medical device or robotics development, and is enthusiastic about working with cutting-edge technologies and continuous learning. If you are eager to join a team that is redefining the industry and improving lives, we invite you to apply.

Responsibilities

• Partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and to help define and deliver high-value solutions meeting these needs.
• Work to design NVIDIA's HW/SW into next generation software defined medical devices and physical AI enabled surgical robotics.
• Stay up to date on the state of the art in image analysis, sensor processing, robotics & surgical data science to apply the latest advancements in the field to customer needs.
• Support customers to optimize workloads using NVIDIA’s computing platform.
• Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
• Partner strategically with lighthouse customers and industry-specific solution partners targeting our computing platform.
• We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful.

Requirements

• Foundational Expertise: MS, PhD or equivalent experience in Computer Science, Mathematics, Biomedical Engineering, Electrical Engineering, or closely related fields.
• Experience: 5+ years of work-related experience in software development, machine learning, deep learning or high-performance computing.
• Technical Skills:
  • In-depth knowledge and practical experience with contemporary Deep Learning software architecture and frameworks, in particular regarding image and video processing of medical and surgical modalities.
  • Experience in scientific computing and software development with C/C++, Python, or CUDA.
  • Skilled in streaming data processing, performance analysis, and optimization from algorithms to pipelines.
• Organizational Skills: Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
• Communication Skills: Excellent communication skills, particularly in the presentation of highly technical material.