Senior Developer Relations Manager, CSP Hyperscale

Reposted 25 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
224K-426K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
This role involves managing developer relations for a CSP, focusing on AI and GPU acceleration while building partnerships and ensuring successful application integration.
Summary Generated by Built In

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 innovative 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 regular interactions 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 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, and leading product teams.

  • Establish trusted relationships with CSP engineering leads and developers, dedicating yourself to making them successful and turning 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 while staying alert to the competitive landscape.

  • Create strategic partnerships and build community by attending research conferences, hosting technical meetups, and engaging in industry events to showcase NVIDIA GPU-accelerated solutions.

What we need to see:

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

  • BS/MS/PhD in Computer Science, Engineering, or a related field (or equivalent experience).

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

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

  • Demonstrated success in developer relations, technical evangelism, or a related role within the technology sector.

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

  • Proven ability to lead projects and teams, with a track record of delivering ambitious goals.

Ways to stand out from the crowd:

  • Outstanding communication and interpersonal skills, with the ability to build and maintain relationships with diverse collaborators.

  • 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 hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.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.

Top Skills

Artificial Intelligence
Deep Learning
Generative Ai
Gpu Technology
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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