We are looking for a Developer Relations Manager - CSP Hyperscale passionate about developing modern Artificial Intelligence, and Generative AI applications with a leading CSP. Focus will be on Deep learning, which is making a major impact across research and industry. This Developer Relations Manager will lead our partnerships with developers within a large CSP, working with engineering, research, applications, and new initiatives. We need creative people who want to build a career at the intersection of imaging, machine learning, deep learning, and data analytics. Development Relations Alliance Managers should be passionate about building and driving engineering partnership and strategies to integrate NVIDIA technologies throughout the CSP’s applications.

This position will be a combination of developer advocacy, product management and business development. You and the CSP team are responsible for leading engineering integration and go-to-market activities with a multi-functional team of engineers, product, and marketing partners. You will work closely with many groups within NVIDIA, including Solutions Architects, Software Developers, HW & SW Architecture, and our product and marketing teams. In this role, you can expect high visibility with NVIDIA senior leaders, given the strategic priority for developing computing platform for deep learning and AI.

What you'll be doing:

• Lead and develop NVIDIA developer and ISV strategy with multi-functional team: Product, Engineering, Applied Research, Marketing, and Sales.

• Develop a detailed understanding and prioritization list of services and applications that could benefit from GPU acceleration in the AI / Gen AI space. Lead strategic relationship with key opinion leaders, influential researchers, leading product teams, leading developers focused new initiatives.

• Establish strategic relationships with CSP engineering leads & developers, dedicate yourself to making them successful. Turn features requests into actionable engineering and product steering.

• Understand application workflow and architectural requirements to enable GPU based workloads acceleration. Integrate NVIDIA GPU acceleration into CSP Applications. Be alert to the competitive landscape and communicate internally.

• Create strategic partnership and build community by attending research conferences and hosting technical meetups. Host CSP developers summits; AI, Deep Learning, HPC, Professional Visualization. Engage industry events to speak, collect requirements, establish relationships, showcase NVIDIA GPU accelerated solutions.

What we need to see:

• BS/MS/PhD in Computer Science or Engineering or equivalent experience.

• 10+ years experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology.

• Good technical understanding of Generative AI, high-performance computing, database analytics.

• Solid understanding of machine learning, deep learning, artificial intelligence platforms and ecosystems.

• Comfortably work across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers.

Ways to stand out from the crowd:

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

• Excellent social, planning and prioritization skills.

• You are a self-starter with approach for growth and passion for continuous learning.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 220,000 USD - 419,750 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.