Technical Marketing Engineer, CUDA-X Accelerated Solvers - CAE and EDA

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Technical Marketing Engineer will create and disseminate technical content to promote NVIDIA's accelerated CAE and EDA solutions. Responsibilities include collaborating on product how-tos, delivering presentations, inspiring developers, and generating training materials. Successful candidates will possess strong technical and communication skills, alongside a background in software development or technical marketing.
Summary Generated by Built In

NVIDIA has been the leader in computer graphics, gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. The NVIDIA Solvers Product organization is a strong and visible team pushing the boundaries of accelerated computing. We’re looking for a self-starter with a mixture of technical and soft skills to craft technical content to educate and excite developers on groundbreaking technologies in accelerated CAE and EDA solvers. You will develop content that inspires developers and engineers to adopt the NVIDIA platform through technical marketing assets and enables them through examples, documentation, and tutorials. Do you have the rare blend of both technical and communication skills? Are you passionate about groundbreaking technology? Do you love to make highly technical solutions simple and approachable? If so, we would love to learn more about you!

What You'll Be Doing:

  • Building: Collaborate with internal engineering and marketing teams as well as external partners to build product-based how-to technical content

  • Communicating: Deliver high-quality technical material to engineers, developers, and scientists through blogs, conferences, and other events

  • Inspiring: Be the evangelist for NVIDIA CUDA-X products, such as Modulus and Warp, in the domains of computer aided engineering, electronic design automation, and scientific computing

  • Connecting: Help channel user feedback back to the NVIDIA teams to improve NVIDIA products and better enable researchers

  • Enabling: Build high-quality training materials and documentation to enable researchers and developers to solve the most ambitious problems and enable their lives' work

What We Need To See:

  • Bachelor’s degree or equivalent experience in Physics, Engineering, Computer Science or a related field

  • 5+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar

  • 3+ years experience using common CAE/EDA applications like Ansys Fluent, Ansys Mechanical, Siemens StarCCM+ or Cadence RTDT

  • Strong communication and interpersonal skills

  • Proven understanding of AI and ML techniques, parallel programming techniques, and software engineering

  • Experience with NVIDIA's CUDA-X Platform, including SDKs like Modulus, Warp, HPC SDK, and Omniverse

  • Passionate about presenting to technical audiences and generating content for developers

Ways To Stand Out From The Crowd:

  • Master's degree or higher from a leading university in an Engineering or Computer Science related field

  • Proven experience developing engineering applications using NVIDIA technologies

  • Existing public-facing technical content or forum contributions

We are widely considered to be one of the technology world’s most desirable employers. We have some of the most talented people in the world working with us. If you are agile, creative, and self-motivated, we want to hear from you.

The base salary range is 124,000 USD - 195,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

AI
Cuda
Ml
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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