This role pays more than
96%
of similar roles. Most pay
$175,668–$235,750
— the shaded band above.
At the midpoint, this role pays about
$290k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Global Account Manager, Developer Relations - Meta, you will lead the technical charter for expanding the integration of NVIDIA’s libraries and frameworks across one of the company's most strategic partners. You will collaborate with internal product, engineering, and developer relations teams to drive adoption of the NVIDIA software stack into partner products, platforms, and pipelines. Your daily work involves engaging technical leaders to resolve challenges in inference optimization, model training, recommender systems, and kernel-level performance while advocating for NVIDIA tools within executive leadership and open-source communities. You will utilize expertise in CUDA-X, PyTorch, and Triton to solve complex problems in large-scale AI infrastructure. The role focuses on the technical integration of high-performance computing components into massive-scale production environments, ensuring seamless software adoption across both proprietary platforms and upstream open-source projects.
Drive the adoption of NVIDIA software libraries and frameworks across the partner's business, product, engineering, and research teams.
Integrate NVIDIA’s software stack into the partner's products, platforms, and pipelines to accelerate critical workloads.
Coordinate with internal technical teams to provide resources that foster co-engineering of next-generation solutions.
Engage technical leaders to resolve challenges, track adoption metrics, and relay field insights back to NVIDIA product teams.
Advocate for NVIDIA tools and SDKs within the partner’s executive leadership and developer communities.
Identify integration opportunities in areas like inference optimization, model training, and kernel-level performance.
Influence NVIDIA's internal product strategy and roadmap based on the partner's specific needs and perspectives.
Grow adoption of NVIDIA technologies within open-source projects maintained by the partner to impact the broader ecosystem.
What we're looking for
Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or a related field (Master's or equivalent experience accepted).
12+ years of professional experience in developer relations, product management, technical partnerships, business development, solutions architecture, or systems engineering.
3+ years of hands-on experience in inference serving, machine learning model development, GPU kernel development, or data processing.
Deep understanding of large-scale AI infrastructure including frontier model training, inference platforms, and recommender systems.
Technical depth to engage research and performance engineering teams as a peer regarding model architecture and distributed training.
Proven ability to distill complex technical concepts for audiences ranging from developers to C-suite executives.
Experience influencing partner product roadmaps and collaborating with cross-functional internal teams like legal, marketing, and sales.
Familiarity with NVIDIA software libraries (e.g., CUDA-X, TRT-LLM) or contributions to open-source projects like PyTorch or vLLM.
NVIDIA Software Stack
CUDA-X
cuDSS
NIM
NeMo
Nemotron
Cosmos
Omniverse
Isaac Sim
Metropolis
DeepStream
PhysicsNeMo
Holoscan
Jetson
IGX
AI
Computer Vision
Edge AI
Digital Twins
Agentic AI