Developer Relations Manager - GSI

Posted 10 Hours Ago
Be an Early Applicant
2 Locations
In-Office or Remote
224K-426K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Developer Relations Manager engages developer ecosystems, solves technical challenges, and drives adoption of NVIDIA technologies, focusing on generative and physical AI solutions.
Summary Generated by Built In

We are seeking a highly technical and strategic Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with global systems integrators, software solution providers, developers, and industry professionals to develop the adoption of NVIDIA’s sophisticated AI and computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for presenting how NVIDIA technology can address complex, real-world challenges.

What You'll Be Doing:

  • Act as the trusted technical advisor for Global Systems Integrator developers in various verticals and industries. Solve their problems and champion their needs, with multi-functional partners to drive adoption of NVIDIA technologies.

  • Accelerate critical workloads by demonstrating groundbreaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.

  • Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems, maximizing NVIDIA technologies

  • Guide Global System Integrators, Advanced Technology Partners, and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation generative AI and physical AI solutions.

  • Map, track, and supervise the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

  • Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.

  • Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote standard processes for successful integrations.

  • Represent and advocate for the partner's technical needs and provide feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

What We Need to See:

  • Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field (or equivalent practical experience).

  • A minimum of 12+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in your designated ecosystem (e.g., Telco, MarTech, etc.).

  • Validated experience leading, partnering, and rapidly growing developer programs at major technology companies, GSIs, or within relevant verticals, concentrating on next-generation generative AI and physical AI solutions.

  • Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.

  • Excellent social skills with the ability to distill sophisticated technical concepts for diverse technical and non-technical audiences, from engineers to executives.

  • Experience leading technical partnerships with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

  • Shown ability to structure and implement sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external partners (across sales, legal, product, or marketing teams as needed).

Ways to Stand Out from the Crowd:

  • Hands-on experience building or optimizing vertical-specific solutions (e.g., train/inference/tune AI Models, develop RAG pipelines, bidding algorithms, AI data pipelines, etc.).

  • Familiarity with advanced computing, AI, and/or GPU acceleration platforms (NVIDIA NVAIE, CUDA, Triton, NeMo, NIMs, DOCA).

  • Track record in crafting and implementing systems for real-time processing and low-latency decision-making.

  • Successful history of building and scaling developer communities and delivering impactful technical enablement programs.

With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us, and due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, 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 December 7, 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

AI
Cloud
Cuda
Doca
High-Performance Computing
Ml
Nemo
Nims
Nvidia Nvaie
Triton
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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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