What You'll Be Doing:

Develop a technical and business strategy to win GPU adoption within leading enterprise companies across verticals.

Engage with NVIDIA technology partners to identify areas of collaboration and demonstrate GPU-enabled return on investment.

Promote Metropolis and help our partners get the most out of our products, tools, and SDKs

Work with NVIDIA product management and engineering teams to define software and hardware needed to complement third-party solutions.

Build and influence decision-makers and executive relationships to promote and develop our leadership position. Be the key advisor to how we are differentiated.

Coordinate technical and engineering activities spanning product divisions and geographies, particularly with solution architects and engineering resources.

What We Need To See:

10+ years relevant work experience – deep understanding of who and how to engage the product and engineering organizations

BS/MS in Computer Science, Data Science, or Engineering (or equivalent experience)

Strong technical understanding of machine learning, deep learning, data science, and artificial intelligence platforms

Knowledge of deep learning frameworks like TensorFlow, PyTorch, or JAX and the ability to help developers use GPUs for training and inference

Established ability to influence and promote at operational and executive levels (esp. engineering/ product management) to achieve a technical partnership

Demonstrated excellent interpersonal skills (both verbal and written) and evidence of your ability to represent NVIDIA externally

Ability to articulate and demonstrate GPU hardware and SDKs value proposition to developers

Strong leadership skills, clear and concise decision-making

Ways To Stand Out From The Crowd:

MBA/MS or advanced degree desired

Understanding of computer vision, Deep Learning, Large Language Models/Generative AI frameworks