At a Glance
- Tasks: Lead innovative AI projects in medical devices, collaborating with top industry experts.
- Company: Join NVIDIA, a leader in AI and accelerated computing, transforming healthcare.
- Benefits: Enjoy flexible work options, competitive salary, and a vibrant company culture.
- Why this job: Be part of a team redefining healthcare technology and making a real impact.
- Qualifications: Requires a Master's or PhD in relevant fields and 5+ years of experience.
- Other info: NVIDIA values diversity and encourages creative, autonomous thinkers to apply.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Senior Solution Architect – Medical Devices
Join to apply for the Senior Solution Architect – Medical Devices role at NVIDIA
Senior Solution Architect – Medical Devices
3 days ago Be among the first 25 applicants
Join to apply for the Senior Solution Architect – Medical Devices role at NVIDIA
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.
What You Will Be Doing
- 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.
What We Need To See
- Strong foundational expertise: MS, PhD or equivalent experience in Computer Science, Mathematics, Biomedical Engineering, Electrical Engineering, or closely related fields.
- 5+ years of work-related experience in software development, machine learning, deep learning or high-performance computing.
- 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.
- Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
- Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain.
Ways To Stand Out From The Crowd
- Domain expertise and proven hands – on experience applying accelerated computing and AI in one of the following areas: medical imaging, digital surgery, surgical data science, or medical robotics. Familiarity with clinical workflows, interventional and/or surgical procedures.
- Industry experience with medical device development life cycle or developing SW 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 with relevant frameworks and model architectures (e.g., CNNs, LLMs, VLMs, VLAs), training robotic policies, training from simulation / 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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you\’re creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
If you are passionate about NVIDIA technology and how it can unlock Healthcare or Life Sciences, we should talk!
JR1998561
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Industries
Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
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Senior Solution Architect - Medical Devices employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solution Architect - Medical Devices
✨Tip Number 1
Network with professionals in the medical devices and AI sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and mentors who can provide insights into NVIDIA's culture and expectations.
✨Tip Number 2
Familiarise yourself with NVIDIA's latest technologies and projects in healthcare. Understanding their current initiatives will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in their work.
✨Tip Number 3
Prepare to discuss specific examples of how you've applied AI and accelerated computing in previous roles. Highlighting your hands-on experience with relevant technologies will set you apart from other candidates.
✨Tip Number 4
Showcase your thought leadership by sharing articles or insights related to AI in healthcare on platforms like LinkedIn. This not only demonstrates your expertise but also helps you build a professional brand that aligns with NVIDIA's innovative spirit.
We think you need these skills to ace Senior Solution Architect - Medical Devices
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in medical devices, AI, and software development. Emphasise your technical skills, particularly in deep learning frameworks and programming languages like C/C++ and Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI in healthcare and how your background aligns with NVIDIA's mission. Mention specific projects or experiences that demonstrate your expertise in medical imaging or robotics.
Showcase Your Technical Skills: Include examples of your work with deep learning architectures and any hands-on experience with CUDA or TensorRT. Highlight any published work or thought leadership in the field to stand out from other candidates.
Prepare for Technical Questions: Anticipate technical questions related to your experience with machine learning and high-performance computing. Be ready to discuss specific challenges you've faced and how you overcame them, especially in regulated environments.
How to prepare for a job interview at Nvidia
✨Showcase Your Technical Expertise
Make sure to highlight your strong foundational expertise in fields like Computer Science or Biomedical Engineering. Be prepared to discuss your experience with software development, machine learning, and deep learning, especially in the context of medical devices.
✨Demonstrate Industry Knowledge
Familiarise yourself with the latest advancements in AI and accelerated computing within the healthcare sector. Discuss specific examples of how you've applied these technologies in previous roles, particularly in medical imaging or surgical data science.
✨Prepare for Technical Questions
Expect in-depth technical questions related to deep learning frameworks and image processing. Brush up on your knowledge of C/C++, Python, and CUDA, and be ready to explain how you've optimised workloads and improved performance in past projects.
✨Communicate Effectively
Strong communication skills are crucial for this role. Practice explaining complex technical concepts in a clear and concise manner, as you will need to present ideas to both technical and non-technical stakeholders during the interview.