Technical Marketing Engineer - Physical AI for Healthcare
NVIDIA is hiring a Technical Marketing Engineer - Physical AI for Healthcare in Santa Clara, United States. It pays $136k-$213k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this marketing role is Uses AI ●●○○: an ordinary role that requires AI tools.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
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 the 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, walk-throughs, demos, developer workshops, and community hackathons that help robotics developers and MedTech engineers adopt and scale Physical AI. You will work alongside our 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 TME team covering healthcare AI and smart hospitals to deliver a coherent developer experience across the stack.
What you will be doing:
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 vibrant 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
What we need to see:
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 similar
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 for improving developer experience through feedback, documentation, and direct engagement
Ways to stand out from the crowd:
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/medical device communities
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:136,000 USD – 212,750 USD for Level 3; and 160,000 USD – 253,000 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.How we rate this
Technical Marketing Engineer - Physical AI for Healthcare at NVIDIA rates 44 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in marketing jobs at this level
Pay
- This job starts at
- $136k
- Typical marketing job
- $148k
This posting starts 8% below the typical marketing job. See marketing jobs
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new marketing jobs (Uses AI ●●○○ or higher) by email
One email a week with the new marketing jobs (Uses AI ●●○○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Healthcare roles that use AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step