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NVIDIA

Senior Developer Relations Manager – AI Infrastructure ISV

Reposted 2 Days Ago
Be an Early Applicant
In-Office or Remote
2 Locations
224K-357K Annually
Expert/Leader
In-Office or Remote
2 Locations
224K-357K Annually
Expert/Leader
Lead strategic partnerships with ISVs in AI infrastructure, ensuring optimization of NVIDIA technologies across software layers. Collaborate with teams to drive product and go-to-market strategies.
The summary above was generated by AI

We are looking for a Senior Developer Relations Manager to build and lead strategic partnerships with ISVs focused on the OS, Virtualization and Kubernetes layers that power next generation AI Factories. This high-impact role positions you at the center of NVIDIA’s ecosystem strategy. You will lead engagements with key ISV partners to ensure NVIDIA technologies are optimized across all software infrastructure layers. Your work will shape the technical, product, and go-to-market initiatives that accelerate NVIDIA adoption and strengthen our partner ecosystem. 

Developer Relations Managers should be passionate about building and driving engineering partnerships and strategies to integrate NVIDIA technologies throughout the SW infrastructure. You will work closely with many groups within NVIDIA, including Solutions Architects, HW & SW Architects, 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 platforms for AI Factories. An ideal candidate has a proven technical background in Enterprise open source software solutions spanning Linux OS, virtualization, container management, and IT automation.

What you'll be doing:

  • Developing AI Infrastructure ISV ecosystem strategy.

  • Working closely with strategic ISV partners to identify accelerated computing product collaboration opportunities.

  • Drive business and technical engagements with partners to support partners’ technology, product and solution development with NVIDIA technology. 

  • Be the voice of your NVIDIA partner by influencing strategic product and roadmap decisions. 

  • Collaborating with NVIDIA’s product, marketing, business development and sales teams to evangelize and drive joint GTM motions with our partners.

What we need to see:

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

  • Strong leadership skills, excellent communication abilities and collaborative attitude

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

  • Expertise in Linux distros, virtualization and container management dependencies for Enterprise AI deployments. 

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

  • 12+ years of relevant work experience 

Ways to stand out from the crowd:

  • Background with NVIDIA GPUs, SDKs, and platforms.

  • Experience building successful strategic partnerships and a versatile ISV ecosystem

  • ​​Exposure to NVIDIA AI Software

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 21, 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
Container Management
Deep Learning
It Automation
Linux Os
Machine Learning
Nvidia Gpus
Sdks
Virtualization

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