We are looking for an AI focused Technical Marketing Engineer (TME) for the Enterprise Product Group’s NeMo and NIM product team. NVIDIA builds groundbreaking AI solutions, systems and cloud offerings, this role will be a key person in the technical team helping our customers make the most of these solutions.

This individual will work across the TME team/s and Enterprise Product Group to build NeMo and NIM solutions that help customers build, use, and optimize their AI applications!

What you will be doing:

• As a Technical Marketing Engineer, you will focus on product readiness and adoption of NVIDIA AI products and solutions by our customers and developers.

• This role will work with the other members of this and adjacent Technical Marketing Engineering teams, Product Management, Product Marketing, Engineering, Field and other business leaders to define and create a wide range of deliverables and assets.

• Our mission is to drive market awareness and showcase how NVIDIA products and solutions help customers solve their business challenges and gain key business learnings. This is done through the creation of a wide range of deliverables.

• Supporting these assets, you will develop and leverage benchmarks, competitive analysis, and generate content to insure the best possible customer experience and clearly convey our value.

• You will bring your background in artificial intelligence and deep learning frameworks, high performance computing, software development, system architecture and infrastructure software and hardware to help bring together complex technical concepts in easy to demonstrate models, example workflows, labs, demos, videos, guides, whitepapers, and other content creation.

• You will engage in public speaking, interacting with customers and partners, leading internal and external training, webcasts, creating blogs, and other activities with the goal of building the right level of content for the audience we are serving will be a key part of this role.

What we need to see:

• 12+ years of experience in the tech industry, with an emphasis on enterprise software

• 3+ years experience in AI and Deep Learning solutions, such as LLMs, frameworks and libraries, is preferred

• Bachelor's degree in Computer Science, Engineering, or equivalent experience

• Demonstrate expertise in Python and similar languages, experience in software development

• Experience and skills packaging and deploying applications in Kubernetes, Docker compose etc., and ability to demonstrate and communicate complex AI and software solutions to a wide range of audiences

• Proven track record to handle a dynamic environment, multiple projects, work across teams, and prioritize across shifting goals and tight deadlines and deliver create complex multi-faceted solutions

• Excellent communication skills in spoken, written, and visual mediums, and prior experience presenting to internal and external sales, technical and executive audiences (Some travel is required.)

• Ability to conduct analysis and technical research of competitive products in the market.

Ways to stand out from the crowd:

• Demonstrate high energy and a positive attitude to your work

• Ability to delve into technical details of products and strong ability to defend opinions with both business and technical partners within the organization

• Examples of architecting and deploying AI/Deep Learning solutions

• Experience with cloud AI platforms and solutions

• Examples of published work you authored or created

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you!

The base salary range is 200,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.