2 days ago
Santa Clara, CA, USASenior / Staff+
H1B Sponsor
Base Salary
$152k - $288k/yr
Responsibilities
- Partner with business and account teams to understand MedTech customer goals, strategies, and technical needs and deliver high-value solutions.
- Develop proof-of-concept demonstrations and advise customers on integrating AI and accelerated computing at the edge or in the cloud.
- Stay current with image/video analysis and sensor processing and apply relevant advances to customer problems.
- Diagnose system issues and performance bottlenecks across the AI stack, from model selection through large-scale deployment.
- Collaborate with NVIDIA engineering, research, product, and industry solution-partner teams to resolve customer challenges.
- Create training, whitepapers, blogs, wiki articles, and other technical materials and teach customers and colleagues.
- Travel as needed to support customers, with up to 15% travel required.
Requirements
- A master's degree, PhD, or equivalent experience in Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics, or a closely related field.
- At least 3 years of work-related experience in software development, machine learning, or high-performance computing.
- Scientific computing and software development experience using C, C++, Python, and/or CUDA.
- Expertise in streaming data processing and modern deep learning software architecture and frameworks.
- Excellent communication and presentation skills for highly technical material.
- Preferred experience includes healthcare video or multimodal data processing, medical-device development lifecycles, or Software as a Medical Device.
- Preferred qualifications include deep learning experience with CNNs, LLMs, VLMs, VLAs, robotic-policy training, simulation, Digital Twins, and model deployment or inference optimization.
- Experience with TensorRT, ONNX Runtime, Triton, or TensorRT-LLM and a published technical or industry thought-leadership record are valued.
Benefits
- Eligible for equity and benefits.
- Some travel is required, with up to 15% travel possible.
- The role makes heavy use of conferencing tools and provides flexibility to determine effective ways of working with customers.
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.