Solutions Architect – MedTech

🕒 June 11

🏄 California – Remote

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💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 28%

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Partner with the business/account team to understand customer goals, strategies, and technical needs and define and deliver high-value solutions • Stay current on image/video analysis and sensor processing and apply advancements to customer needs • Diagnose and resolve system issues and performance bottlenecks across the AI stack, from model selection through large-scale deployment • Collaborate with NVIDIA engineering, research, and product teams to resolve partner challenges and accelerate shared achievements • Document knowledge and teach partners and Solutions Architects through training, whitepapers, blogs, wiki articles, and customer whiteboard sessions • Partner strategically with industry-specific solution partners targeting NVIDIA’s computing platform • Serve as a trusted technical advisor and leader to MedTech customers • Develop proof-of-concept demonstrations and build strategic executive relationships to champion AI integration at the edge or in the cloud

🎯 Requirements

• MS, PhD or equivalent experience in Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics or closely related fields • 3+ years of work-related experience in software development, machine learning or high-performance computing • Scientific computing experience, including software development in C/C++, Python, and/or CUDA • Expertise in streaming data processing • Experience with modern deep learning software architecture and frameworks • Excellent communication skills, particularly in presenting highly technical material • Ability to interact with forward-thinking people, pursue lifelong learning, and stay at the forefront of the domain • Up to 15% travel may be required • Experience in video or multimodal data processing within healthcare (a plus) • Experience with medical device development lifecycle or SaMDs (a plus) • Extensive deep learning knowledge and practical experience with relevant frameworks and model architectures, including CNNs, LLMs, VLMs, and VLAs (a plus) • Experience training robotic policies and training from simulation/Digital Twins (a plus) • Proficiency deploying AI models and optimizing inference using TensorRT, ONNX Runtime, Triton, or TensorRT-LLM (a plus) • Published record of thought leadership in a technical area or industry segment (a plus)

🏖️ Benefits

• Equity • Benefits • Flexible work arrangements; employees are empowered to find the best way to get the job done • Conferencing tools provided/used • Travel opportunities (up to 15% may be required)

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