Technical Marketing Engineer - Physical AI for Healthcare

at Nvidia
USD 136,000-253,000 per year
SENIOR
✅ On-site

Tech Stack

AI @ 4 CUDA @ 6 GPU GitHub Marketing @ 4 Robotics @ 4 Software Development @ 6

Details

We are looking for a Technical Marketing Engineer who is passionate about Physical AI and healthcare. This person will serve as a domain expert on NVIDIA's Physical AI platform stack for medical applications. You will own early enablement for the platform, building technical content that demonstrates NVIDIA's accelerated computing stack for simulation, orchestration, and physical AI across surgical robotics and medical devices.

You will develop video tutorials, technical blog posts, user guides, walkthroughs, demos, developer workshops, and community hackathons that help robotics developers and MedTech engineers adopt and scale Physical AI. You will work alongside Physical AI, medical imaging, and healthcare AI researchers, engineers, and product teams to demonstrate the latest NVIDIA advancements in MedTech, and partner with the broader Technical Marketing Engineer team covering healthcare AI and smart hospitals to deliver a coherent developer experience across the stack.

Responsibilities

  • Become an authority on NVIDIA's Physical AI platform stack for healthcare, owning early enablement content and developer onboarding.
  • Develop demos, workshops, Jupyter notebooks, and tutorials that help developers build and accelerate workflows in simulation, orchestration, and physical AI for surgical robotics and medical devices.
  • Build and nurture a developer community through forums, GitHub, workshops, hackathons, and direct engagement, growing the Physical AI for healthcare ecosystem.
  • Partner with product, product marketing, engineering, and research teams to drive internal benchmarking and validation of GPU-accelerated Physical AI and medical workflows.
  • Promote NVIDIA's MedTech Open Models, Cosmos, Isaac Sim/Lab, Isaac for Healthcare, Holoscan, GR00T, and related Physical AI platforms and ecosystem libraries to customers and the developer community.
  • Channel external community feedback into product, documentation, and developer experience improvements.

Requirements

  • Bachelor's degree in Computer Science, Robotics, Biomedical Engineering, Electrical Engineering, or equivalent experience.
  • 5+ years of meaningful work experience in software development, robotics engineering, technical evangelism, technical marketing, or a similar field.
  • Experience with robotics development, medical devices, medical imaging, or healthcare technology applications.
  • Skilled at presenting to technical audiences and generating developer content, including blogs, videos, documentation, and demos.
  • Product sense and the ability to translate product value into compelling demonstrations.
  • Strong time management and organization skills for coordinating multiple initiatives and product launches in parallel.
  • Passion for community building and improving developer experience through feedback, documentation, and direct engagement.

Preferred Qualifications

  • Background with NVIDIA GPUs and SDKs, especially 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.
  • Contributions to open-source robotics or healthcare AI projects, or active participation in robotics and medical device communities.

Compensation and Benefits

The base salary range is USD 136,000–212,750 for Level 3 and USD 160,000–253,000 for Level 4. Base salary is determined by location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

Applications for this job will be accepted at least until June 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.

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