below marketmost similar roles pay hereabove market
This role pays more than
98%
of similar roles. Most pay
$171,162–$235,750
— the blue band above.
At the midpoint, this role pays about
$290k
versus about
$203k
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 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 work with internal product and engineering organizations to drive adoption of software stacks into partner platforms, focusing on inference optimization, model training, recommender systems, kernel-level performance, and data processing. Your daily responsibilities include engaging technical leaders to resolve challenges, advocating for software within executive leadership, and guiding co-engineering of next-generation solutions. You must possess proficiency in large-scale AI infrastructure, including GPU kernel development and distributed training. Required skills include experience with tools like CUDA-X, PyTorch, and Triton to support the partner's open-source projects and production software pipelines.
Drive adoption of NVIDIA software libraries and frameworks across the partner's business, product, engineering, and research teams.
Integrate the NVIDIA software stack into partner products, platforms, and pipelines to accelerate critical workloads.
Coordinate with internal engineering, solutions architecture, and product teams to prioritize and execute technical integration goals.
Engage technical leaders to resolve challenges, track adoption, and channel field insights back to NVIDIA product teams.
Advocate for NVIDIA software and tools within the partner’s executive leadership, research, and developer communities.
Identify integration opportunities for inference optimization, model training, recommender systems, and kernel-level performance.
Influence NVIDIA’s product strategy and roadmap by championing the partner’s specific needs and perspectives.
Grow adoption of NVIDIA libraries upstream in open-source projects maintained by the partner.
What we're looking for
Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or a related field, or a Master's degree or equivalent experience.
12+ years of professional experience in developer relations, product management, technical partnerships, business development, solutions architecture, or systems and performance engineering.
3+ years of direct hands-on experience in inference serving, machine learning model development, recommendation algorithms, GPU kernel development, AI/ML software development, or data processing.
Deep understanding of large-scale AI infrastructure, including frontier model training, inference platforms, recommender systems, and data processing platforms.
Technical depth to engage research and performance engineering teams as a peer regarding model architecture, kernel implementations, and distributed training.
Proven record of structuring complex technical engagements, negotiating requirements, and collaborating with internal and external stakeholders across sales, legal, product, and marketing.
Ability to distill complex technical concepts for audiences ranging from developers to C-suite executives.
MBA, MS, or PhD in computer science, electrical engineering, or a similar field (preferred).
Remote (Santa Clara, CA)+288 days ago
$224,000–$356,500
NVIDIA Software Stack
CUDA-X
NIM
TRT-LLM
Triton
cuVS
cuDF
Dynamo
Omniverse
Isaac Sim
Metropolis
Agentic Workflows
Inference Serving
Model Optimization
Vector Search
Data Processing
PaaS
Microsoft Ecosystem
AI/ML
SDKs
NVIDIA Software Libraries
CUDA-X
NIM
NeMo
Nemotron
Cosmos
Omniverse
Isaac Sim
Metropolis
DeepStream
PhysicsNeMo
Holoscan
Jetson
IGX
cuDSS
AI
Computer Vision
Edge AI
Digital Twins
Agentic AI
Inference
Data Processing
Accelerated Computing