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.
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.Skills Required
- MS or PhD in Engineering, Mathematics, Physical Sciences, Computer Science, or equivalent experience
- 5+ years relevant developer experience focused on GPU compute platforms
- Experience with CUDA and NVIDIA GPU technologies
- Competency in C++ and Python
- Proven experience creating and delivering technical content, tutorials, workshops, webinars, or presentations
- Strong technical experience working with developer ecosystems
- Excellent technical communication and presentation skills
- Ability to work collaboratively across multifunctional teams
- Self-motivated, independent, and able to multi-task with minimal direction
- Contributions to open-source projects or active involvement in developer communities
- Authored developer content (blogs, white papers, explainers)
- Examples of innovative solutions or projects developed using the CUDA platform
- Experience organizing or speaking at developer meetups, conferences, or hackathons
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.png)
