Solutions Architect - MedTech

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Posted
7 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k
This role $197k
$135k most similar roles pay here $253k

This role pays more than 59% of similar roles. Most pay $166,690–$235,750 — the shaded band above. At the midpoint, this role pays about $197k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 980 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 966 roles with salary data.

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At a glance

TL;DR · Solutions Architect - MedTech

As a Solutions Architect within NVIDIA’s Healthcare team, you will lead the transformation of the healthcare industry by collaborating with MedTech customers to unlock the potential of AI and high-performance computing. Your role involves becoming a trusted advisor to customers, crafting groundbreaking proof-of-concept demonstrations, and forging strategic relationships with key executives. You will stay updated on advancements in image/video analysis and sensor processing, diagnose system issues, and collaborate across internal teams to resolve customer challenges. Key responsibilities include documenting technical knowledge through training materials and whitepapers, and partnering with industry-specific solution partners. The ideal candidate has a background in biomedical engineering or related fields, 3+ years of experience in software development or machine learning, expertise in scientific programming languages like C/C++, Python, and CUDA, and proficiency in deep learning frameworks such as TensorFlow and PyTorch. Experience with medical device development lifecycle and deploying AI models using TensorRT is beneficial.

What you'll do

  • Lead the development of high-value solutions by understanding customers' goals and technical needs.
  • Apply advanced image/video analysis techniques to solve customer-specific challenges.
  • Resolve complex system issues and performance bottlenecks across the AI stack.
  • Collaborate with internal teams to address critical partner challenges and accelerate achievements.
  • Document knowledge and train others through targeted training, whitepapers, and direct problem-solving sessions.

What we're looking for

  • MS, PhD or equivalent experience in relevant fields like Biomedical Engineering, Computer Science.
  • 3+ years of work-related experience in software development, machine learning, or high-performance computing.
  • Expertise in scientific programming languages including C/C++, Python, and CUDA.
  • Deep knowledge of modern deep learning frameworks and practical experience with model architectures.
  • Strong communication skills for presenting technical material to diverse audiences.
  • Experience in video or multi-modal data processing within the healthcare domain.
  • Published record of thought leadership in a technical area or industry segment.

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