Nvidia Technical Product Marketing Engineer 

United States, California 

807524334

What You’ll Be Doing:

• Serve as a bridge between customers and engineering, understanding the deep dive NVIDIA software stacks and directing efforts to address customer-specific use cases.

• Develop application layers that are useful for customer-specific use cases, ensuring hands-on creation and implementation.

• Spend the majority of your time coding and developing applications, becoming the go-to expert on the underlying software stack.

• Create and deliver technical content, including blog posts, tutorials, sample applications, and presentations that showcase the capabilities of NVIDIA's software stack and engage with the developer community through various channels, including social media, forums, events, and meetups, to gather feedback, answer questions, and build relationships.

• Provide hands-on support to developers, helping them to design, implement, and optimize their applications using NVIDIA's AI tools and frameworks and work closely with product and engineering teams to influence the development of NVIDIA's AI products based on feedback from the developer community.

• Participate in and speak at industry conferences, meetups, and webinars to promote NVIDIA's AI technologies and share best practices.

• Develop and maintain demo applications, SDKs, and other resources that make it easier for developers to adopt and integrate NVIDIA's AI solutions.

• Create and maintain strong, supportive, and inclusive developer communities around NVIDIA’s AI technologies.

What We Need To See:

• Proven experience in AI, machine learning, or deep learning, and video streaming AI applications.

• Bachelor's degree in computer science or related field or equivalent experience.

• 5+ years relevant work experience.

• Excellent coding skills in Python and familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.

• Strong communication skills with the ability to explain complex technical concepts to a broad audience.

• Good debugging skills and the ability to troubleshoot and solve technical issues effectively.

• Technical communication skills, including writing technical documentation and delivering presentations with experience in creating technical content and engaging with developer communities.

• Ability to work independently and as part of a distributed team, and willingness to travel to conferences, meetups, and other events as needed.

Ways to Stand Out from the Crowd:

• Contributions to open-source projects.

• Experience in developing and optimizing AI applications for performance and scalability.

• Familiarity with NVIDIA’s AI tools and technologies, including CUDA, TensorRT, and NVIDIA SDKs such as Deepstream.