Technical Marketing Engineer - Edge AI and Robotics

Reposted 23 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
128K-253K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves creating demos, engaging with the Jetson community, conducting competitive analysis, and benchmarking software performance.
Summary Generated by Built In

NVIDIA is pushing the advancement of Physical AI—from groundbreaking Generative AI to autonomous machines—transforming industries like robotics, healthcare, and beyond. Our Edge AI team sits at the center of this revolution. We’re pushing boundaries at the edge, and now we’re looking for a Technical Marketing Engineer to join the Jetson team and help us bring AI to life where it matters most—in the real world.

In this role, you’ll serve as a critical link between our ground breaking technologies and developers building impactful solutions on the NVIDIA Jetson platform. From creating compelling demos to engaging with the global Jetson community, you’ll play a vital role in driving adoption and showcasing what’s possible with AI.

What You’ll Be Doing:

  • Collaborate with product management and marketing teams to create compelling demonstrations and impactful technical content that highlights the capabilities of NVIDIA’s Jetson platform.

  • Engage and grow Jetson developer community and support popular Gen AI frameworks and models on Jetson.

  • Conduct technical competitive analysis to position NVIDIA’s offerings effectively in the market.

  • Benchmark software performance and generate data to enhance the positioning of NVIDIA's software products.

  • Engage with the NVIDIA developer community by interacting on Jetson forums, GitHub, and other platforms, answering technical questions, and building advocacy for the Jetson ecosystem.

What we need to see:

  • BS/MS in Computer Science, Engineering, or a related field (or equivalent experience).

  • 5+ years of relevant work experience in software development, technical evangelism, technical marketing, developer marketing, or a similar role at a technology company.

  • Technical Expertise: Strong knowledge of Deep Learning, Generative AI, GPUs, and related technologies.

  • Programming Skills: Proficiency in Python or C/C++, along with expertise in programming techniques and software development.

  • Clear, persuasive communicator—comfortable writing for and presenting to a technical audience.

At NVIDIA, you’ll collaborate with individuals who demonstrate outstanding problem-solving skills in AI and edge technology, challenging limits and influencing the course of innovation. Be part of a team that’s transforming industries and empowering developers around the globe.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 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 September 1, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

C/C++
Deep Learning
Generative Ai
Gpus
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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