Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 3
Software Development @ 5
GitHub @ 3
CUDA @ 3
GPU @ 3
AI @ 3
Robotics @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
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 and 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.
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, tutorials, video tutorials, technical blog posts, user guides, walk-throughs, and demos 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 to grow 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 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, demos, workshops, and tutorials.
- Product sense and 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.
Ways to Stand Out
- 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.
Compensation and Other Details
- Base salary ranges (dependent on level and location):
- Level 3: 136,000 USD - 212,750 USD
- Level 4: 160,000 USD - 253,000 USD
- You will also be eligible 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 and is an equal opportunity employer committed to an inclusive work environment.