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What You'll Be Doing:
Develop a technical and business strategy to win NVIDIA full-stack adoption within leading enterprise companies across Energy sectors O&G production, Pipelines, Refining, Power Generation, Renewable, Transmission and Distribution grid.
Engage with NVIDIA technology partners to identify areas of collaboration and demonstrate GPU-enabled return on investment.
Promote NVIDIA AI Enterprise, HPC, and Omniverse to 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.
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.
Ways To Stand Out From The Crowd:
Strong domain knowledge of Refining, Power and Renewable and Utilities.
Understanding of computer vision, Deep Learning, Large Language Models/Generative AI frameworks.
Ability to articulate and demonstrate NVIDIA full-stack GPU value proposition to developers.
Strong leadership skills, clear and concise decision-making.
You will also be eligible for equity and .
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