Senior Solutions Architect, Medical Devices

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 6 Python @ 4 Machine Learning @ 4 Data Science @ 4 Leadership @ 4 Communication @ 4 Mathematics @ 4 LLM @ 6 CUDA @ 4

Details

At NVIDIA, we are committed to advancing healthcare through innovation. As a Senior Solutions Architect, you’ll be at the forefront of this transformation, collaborating with medical device customers across North America to unlock the full potential of AI and accelerated computing. Solution Architects at NVIDIA are elite developers and scientists who excel in applying the latest in computing technologies to tackle real world problems. NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the healthcare domain and are broadly used across leading device manufacturers, academic medical centers, pharmaceutical companies and start-ups. This role requires becoming a trusted technical advisor and leader to our customers who believe that accelerated computing and artificial intelligence has the potential to transform the entire healthcare domain.

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.
  • Optimize workloads using NVIDIA’s computing platform.
  • Work to design NVIDIA's HW/SW into a new generation of software defined medical devices.
  • 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.
  • Document what you know and teach others, including building targeted training, writing whitepapers, blogs, and wiki articles, and solving problems collaboratively.
  • Partner strategically with lighthouse customers and industry-specific solution partners targeting our computing platform.
  • Use conferencing tools extensively, with some travel required. Empowered to find the best way to succeed and make customers successful.

Requirements

  • MS, PhD or equivalent experience in Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics or related fields.
  • 5+ years experience in software development, machine learning or high-performance computing.
  • Scientific computing experience in C/C++, Python, and/or CUDA.
  • Understanding of multimodal and generative AI for scientific questions.
  • Experience with modern Deep Learning software architectures and frameworks.
  • Excellent communication skills with technical material presentation.
  • Passion for AI, accelerated computing, life-long learning, and cutting-edge technology.

Ways to Stand Out

  • Hands on experience applying accelerated computing and AI in medical imaging, medical robotics, digital surgery.
  • Experience with medical device development lifecycle or SaMDs.
  • Extensive deep learning knowledge and practical experience with CNNs, LLMs, VLMs, VLAs, robotic policy training, simulation/Digital Twins.
  • Proficiency deploying AI models and optimizing inference with TensorRT, ONNX Runtime, Triton or TensorRT-LLM.
  • Published technical thought leadership.

Benefits

  • Base salary range: 148,000 USD - 287,500 USD, dependent on location, experience, and comparable pay.
  • Eligibility for equity and additional benefits.
  • NVIDIA is an equal opportunity employer committed to diversity and inclusion.