Senior Developer Relations Manager, Energy - WWFO

We seek an outstanding Senior Developer Relations Manager with strong software & product development background to drive and support our partners developing solutions for Energy sector-Oil & Gas, Power generation, Renewable, and Utilities. NVIDIA is building future of AI, Computer Graphics and Simulation technologies to democratize creation and integration for industrial metaverse use cases such as digital twin, simulations, robotics development, synthetic data generation, collaborative design, computer vision training and more. It is crucial to establish relationships and support ISVs and developers building solutions on NVIDIA platforms.

In this important role, you will lead all technical alignment aspects with medium-to-large enterprises, ecosystem partners, and customers to scale accelerate NVIDIA full-stack adoption, and drive business results. You will drive the technical, product, marketing, and go-to-market engagement with strategic developers of NVIDIA's technology and products to increase adoption. You will play a meaningful role in identifying product gaps and defining future features for NVIDIA's SDKs, platforms, and application frameworks. Are you ready to use your domain and technology background to help solve complex Energy sector problems to build a low carbon future?

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 SDKsWork 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.

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 176,000 USD - 333,500 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.#deeplearning

Key Skills

• Data Science