Global Account Manager, Developer Relations - Meta

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 224,000 - 431,000; Full time

Job summary

NVIDIA in Santa Clara seeks a senior technologist to drive adoption of NVIDIA software libraries across partner teams, from product to research. You will coordinate with account, developer relations, and solutions architecture to prioritize integration and accelerate critical workloads through the NVIDIA stack.

This role requires deep AI infrastructure knowledge, 12+ years in tech, and experience in inference serving and model training at scale.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or related field.
• 12+ years in tech incl. 3+ years in inference serving, ML model development, or data processing.
• Deep understanding of large-scale AI infrastructure and software stack.
• Ability to engage partner research and performance teams as a peer.
• Proven track record in complex technical engagements with stakeholders across teams.
• Experience influencing partner product roadmaps.

Responsibilities

• Drive adoption of NVIDIA software libraries across partner teams.
• Coordinate with account, developer relations, solutions architecture, and engineering on integration priorities.
• Accelerate workloads by integrating NVIDIA software into partner products and pipelines.
• Lead cross-functional teams as NVIDIA PIC to ensure partnership success.
• Grow upstream adoption in open-source projects the partner maintains.

Skills

Deep AI infra knowledge

Articulate complex concepts

Inference serving experience

Executive-level engagement

Cross-functional leadership

Roadmap influence

Open-source collaboration

Education

Bachelor's in CS/Engineering/EE

Master's or equivalent experience

Tools

CUDA-X

CUTLASS

cuEmbed

cuDF

NCCL

NVSHMEM

Job description

What you’ll be doing:

• Drive adoption of NVIDIA software libraries and frameworks across business, product, engineering, and research teams
• Work closely with the NVIDIA account, developer relations, solutions architecture, and developer technology teams on product and engineering integration priorities and coordination
• Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack into partner products, platforms, and pipelines. Guide and support the partner in integration by bringing NVIDIA's developer technology, engineering, solutions architecture and product resources to accelerate adoption and foster co-engineering of next-generation solutions
• Engage technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams
• Build strong relationships with executive and technical collaborators across partner organizations — from C-suite sponsors to the developers building production software
• Advocate for NVIDIA software within partner’s executive leadership, architect, research and developer communities, driving early adoption of new tools, libraries, frameworks, and SDKs
• Identify integration opportunities to deliver differentiated solutions and unique value propositions — particularly in inference optimization, model training, recommender systems, kernel-level performance, and data processing
• Champion partner’s needs and perspectives within NVIDIA, influencing product strategy and roadmap
• Act as NVIDIA's PIC (Pilot in Command) to lead cross-functional teams — including product management, engineering, solutions architects, developer relations, marketing, legal, sales, and ecosystem teams — ensuring partnership success
• Grow adoption of NVIDIA libraries and frameworks upstream in the open-source projects the partner maintains and contributes to, and support downstream adoption across the ecosystem

What we need to see:

• Bachelor\'s degree in Computer Science, Engineering, Electrical Engineering, or a related field, or a Master\'s degree or equivalent experience
• 12+ years of overall professional experience in the technology industry in developer relations, product management, technical partnerships, business development, solutions architecture, or systems and performance engineering, including 3+ years of direct hands-on experience in inference serving and efficiency improvements, machine learning model development, recommendation algorithms and ranking at scale, GPU kernel development, AI/ML software development, or data processing
• Deep understanding of large-scale AI infrastructure — frontier model training and inference platforms, recommender and ranking systems, data processing platforms — and the software stack that runs them
• Technical depth sufficient to engage partner research and performance engineering teams as a peer — able to reason about model architecture, kernel and attention implementations, distributed training and inference, and performance tradeoffs
• Consistent record to structure and drive progress of complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external stakeholders across sales, legal, product, and marketing teams
• Exceptional ability to distill complex technical concepts and articulate value propositions to audiences ranging from developers to C-suite executives, with end-to-end experience defining, integrating, building, and bringing solutions to market with strategic partners or open-source communities
• Experience influencing partner product roadmaps

Ways to stand out from the crowd:

• MBA or MS or PhD in computer science, electrical engineering or similar field
• Familiarity with NVIDIA software libraries and platforms (e.g., CUDA-X, CUTLASS, CuTeDSL, cuEmbed, cuVS, cuDF, cuEquivariance, NCCL, NVSHMEM, NIXL, NVTrust, NVAttestation, TRT-LLM)
• Contributor or maintainer standing in the open -source projects partners run in production — PyTorch, OpenAI Triton, vLLM, SGLang, Faiss, Presto/Velox
• Experience engaging AI research organizations - publications, upstream contributions, or co-authored performance work
• Deep experience working at or alongside Meta

With attractive compensation 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 - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.