Technical Marketing Engineer, Physical AI for Healthcare

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $136,000–$212,750 / yr
Posted: 101 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k

This role $174k

$122k most similar roles pay here $268k

This role pays less than 70% of similar roles. Most pay $171,300–$253,812 — the shaded band above. At the midpoint, this role pays about $174k versus about $213k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Technical Marketing Engineer, Physical AI for Healthcare

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As a Technical Marketing Engineer - Physical AI for Healthcare, you will serve as a domain expert on the Physical AI platform stack specifically for medical applications. You will own early enablement by creating technical content, including video tutorials, blog posts, user guides, and developer workshops to demonstrate accelerated computing for simulation, orchestration, and physical AI in surgical robotics and medical devices. Your daily work involves developing Jupyter notebooks, demos, and community hackathons while collaborating with research and engineering teams to validate GPU-accelerated workflows. You will promote specific technologies including Isaac Sim, Isaac Lab, Holoscan, GR00T, and CUDA, while utilizing ROS/ROS2 and Gazebo. The role focuses on solving technical challenges in medical imaging and healthcare technology by building a developer ecosystem and translating complex product value into compelling demonstrations for the MedTech community.

Skills

NVIDIA GPU CUDA Isaac Sim Isaac Lab Holoscan ROS ROS2 Gazebo Jupyter Notebooks GitHub Simulation Medical Imaging Robotics Engineering Accelerated Computing open-source

What you'll do

Serve as a domain expert on the Physical AI platform stack for medical applications.
Create technical content including video tutorials, blog posts, user guides, and developer workshops.
Develop demos, Jupyter notebooks, and tutorials to accelerate workflows in surgical robotics and medical devices.
Build and nurture a vibrant developer community through forums, GitHub, and hackathons.
Partner with internal teams to conduct benchmarking and validation of GPU-accelerated medical workflows.
Promote NVIDIA's MedTech Open Models, Isaac Sim/Lab, Holoscan, and other Physical AI platforms.
Translate external community feedback into improvements for products, documentation, and developer experience.

What we're looking for

Bachelor's degree in Computer Science, Robotics, Biomedical Engineering, Electrical Engineering, or equivalent experience.
5+ years of work experience in software development, robotics engineering, technical evangelism, or technical marketing.
Experience with robotics development, medical devices, medical imaging, or healthcare technology applications.
Ability to create and present technical content including blogs, videos, documentation, and demos for technical audiences.
Proficiency in translating product value into compelling demonstrations and developer experiences.
Familiarity with NVIDIA GPUs, SDKs (Isaac Sim, Isaac Lab, Holoscan), or CUDA for robotics and medical applications.
Experience with ROS/ROS2, Gazebo, or other robot simulation frameworks and middleware.
Experience with surgical robotics, rehabilitation robots, or medical device development pipelines.

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