Developer Relations Manager, CUDA-X

Reposted 22 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead strategic relationships and drive adoption of CUDA-X software solutions. Collaborate with teams on partnerships and marketing efforts.
Summary Generated by Built In

NVIDIA seeks a Developer Relations Manager to lead our work in architecting impactful usage and adoption for CUDA accelerated software solutions for customer relationships. We are interested in finding an authority and leader at the intersection of high performance numerical computing to define and guide strategic relationship building for NVIDIA's CUDA-X products.

We’re looking for hard-working technologists with high performance for numerical computing domain expertise to engage the community. In this role you will lead defining strategic partnerships, leading collaborations, driving software adoption, and evangelizing the NVIDIA platform for CUDA-X libraries with developers and customers. CUDA-X is a large set of ever-growing software solutions that cover a wide range of customer use cases on GPUs across HPC, AI, DL, CAE, EDA, computational chemistry, fluid dynamics, molecular dynamics, image processing and beyond. The CUDA-X organization is a strong, growing, and visible group in this exciting area to drive strategy and meaningful adoption for our customers. Do you have the rare blend of both technical and relationship skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you!

What you'll be doing:

  • Develop CUDA-X developer and ISV strategy with cross functional teams in Product and Engineering.

  • Lead strategic relationships with key opinion leaders, leading ISVs, and influential researchers.

  • Evangelize and directly engage target applications, academic, and ISV collaborators.

  • Drive early adoption of new products and support launch and go-to-market activities.

What We Need To See:

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

  • 8 years of experience in a major technology company management ISV partnerships or and delivering Software and SDKs

  • Experience managing technical and business alliances across multiple partner groups and the peer team(s)

  • Proven understanding of high performance numerical computing on CPUs and GPUs, high performance technologies and ecosystem

  • World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences

Ways To Stand Out From The Crowd:

  • Experience with NVIDIA products and SDKs (CUDA, CUDA-X Libraries, PhysicsNeMo)

  • Hands-on experience in high-performance computing environments, applied machine learning, or deep learning.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent 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 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 3, 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

Cuda
Cuda-X
Deep Learning
High Performance Computing
Machine Learning
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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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