Developer Relations Manager - CSP and Hyperscale

Details

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.

Responsibilities

• Lead and develop NVIDIA developer and ISV strategy with a 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 relationships with key opinion leaders, influential researchers, leading product teams, and developers focused on new initiatives.
• Establish strategic relationships with CSP engineering leads & developers; dedicate yourself to making them successful. Turn feature requests into actionable engineering and product steering.
• Understand application workflow and architectural requirements to enable GPU based workload acceleration. Integrate NVIDIA GPU acceleration into CSP applications. Be alert to the competitive landscape and communicate internally.
• Create strategic partnerships and build community by attending research conferences and hosting technical meetups. Host CSP developer summits for AI, Deep Learning, HPC, and Professional Visualization. Engage industry events to speak, collect requirements, establish relationships, and showcase NVIDIA GPU-accelerated solutions.

Requirements

• BS/MS/PhD in Computer Science or Engineering or equivalent experience.
• 12+ years experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology.
• Good technical understanding of Generative AI, high-performance computing, and database analytics.
• Solid understanding of machine learning, deep learning, and artificial intelligence platforms and ecosystems.
• Ability to work comfortably across internal functional areas (engineering, sales, marketing, executives) as well as with external partners, customers, and content developers.

Ways to stand out

• Demonstrated excellent interpersonal skills (both verbal and written) and evidence of your ability to represent NVIDIA externally.
• Excellent social, planning and prioritization skills.
• Self-starter with a growth approach and passion for continuous learning.

Compensation & Other Details

• Base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• Salary ranges provided: Level 5: 224,000 USD - 356,500 USD; Level 6: 272,000 USD - 425,500 USD.
• You will also be eligible for equity and benefits.
• Applications for this job will be accepted at least until September 21, 2025.

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate in hiring and promotion practices on the basis of characteristics protected by law.