Job description

Are you a computational scientist, engineer or data scientist passionate about working with developers? NVIDIA is seeking a Senior Technical Marketing Engineer (TME) to share the CUDA platform with our developer community. TMEs are drawn from outstanding software engineers and scientists who enjoy helping and teaching developers to use NVIDIA technology to make ground-breaking advances. We want someone who understands the GPU developer perspective and speaks their language. Your primary responsibilities will be to create and deliver technical content to teach developers how to use the CUDA platform successfully. You should be comfortable working in a dynamic environment and have experience with CUDA and NVIDIA GPU technologies. Your ability to work independently is important. We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our developers successful. What you’ll be doing: • Dig deep into new and important CUDA features, evaluate them and experiment with them to provide developer-centric insights to help inform product development. • Craft compelling technical content, such as tutorials, guides, and blog posts to help enhance developer effectiveness using CUDA. • Deliver technical workshops, webinars, and presentations to educate and empower developers to build innovative solutions using NVIDIA’s CUDA Platform. • Capture market insights and developer feedback to advise product roadmap decisions and find opportunities for innovation and differentiation. • Work effectively across NVIDIA with groups such as Product Management, Product Marketing, Engineering and Technical Sales to achieve business goals. What we need to see: • MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science or equivalent experience. • 5+ years relevant work experience as a developer with a focus on GPU compute platforms, including competency in C++ and Python. • Strong technical experience working with developer ecosystems. • Excellent communication skills particularly in the presentation of highly technical material. • Ability to work collaboratively across multi-functional teams. • Self-motivated and independent with the ability to multi-task effectively with minimal day-to-day direction. Ways to stand out from the crowd: • Contributions to open-source projects or involvement in developer communities. • Author of published developer content like blogs, white papers, explainers, etc. • Examples of innovative solutions or projects you've developed using CUDA Platform. • Experience organizing or speaking at developer meetups, conferences, or hackathons. NVIDIA is renowned globally as a top-tier technology innovator and employer. Our team thrives on creativity, collaboration, and a shared drive to tackle ambitious challenges. If you're a technically-minded, developer-focused engineer eager to share the CUDA platform with our developers, we want to hear from you! With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the industry's most desirable employers. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 224,250 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 24, 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.

Requirements

Must-haves

Dig deep into new and important CUDA features, evaluate them and experiment with them to provide developer-centric insights to help inform product development.
Craft compelling technical content, such as tutorials, guides, and blog posts to help enhance developer effectiveness using CUDA.
Deliver technical workshops, webinars, and presentations to educate and empower developers to build innovative solutions using NVIDIA’s CUDA Platform.
Capture market insights and developer feedback to advise product roadmap decisions and find opportunities for innovation and differentiation.
Work effectively across NVIDIA with groups such as Product Management, Product Marketing, Engineering and Technical Sales to achieve business goals.
MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science or equivalent experience.
5+ years relevant work experience as a developer with a focus on GPU compute platforms, including competency in C++ and Python.
Strong technical experience working with developer ecosystems.
Excellent communication skills particularly in the presentation of highly technical material.
Ability to work collaboratively across multi-functional teams.
Self-motivated and independent with the ability to multi-task effectively with minimal day-to-day direction.
Contributions to open-source projects or involvement in developer communities.
Author of published developer content like blogs, white papers, explainers, etc.
Examples of innovative solutions or projects you've developed using CUDA Platform.
Experience organizing or speaking at developer meetups, conferences, or hackathons.
With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the industry's most desirable employers.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonai

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