As a Developer Relations Manager at NVIDIA, you will join a dynamic team dedicated to supporting the next generation of AI-native software companies. Your role involves serving as a trusted technical advisor to startup founders and engineering teams, helping them architect and optimize their AI workloads using NVIDIA’s cutting-edge technologies such as CUDA-X libraries, TensorRT-LLM, Triton Inference Server, and NeMo. You will guide these companies in scaling training and inference infrastructure while collaborating with internal teams to influence the platform roadmap. Essential skills include deep expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications, along with experience in optimizing LLM workloads using GPU acceleration technologies. This role demands strong communication abilities and a passion for working alongside ambitious startup founders and engineers in fast-paced environments.
Skills
CUDA
TensorRT-LLM
Triton Inference Server
NVIDIA NeMo
GPU-accelerated data processing
Distributed systems
Machine learning infrastructure
Model serving
Multimodal models
Inference optimization
LLMs
Agent frameworks
AI-native startups
Developer tools
AI copilots
Search systems
CUDA-X libraries
RAPIDS
Open-source AI frameworks
What you'll do
Serve as a trusted technical advisor to AI-native startups building innovative applications.
Architect and optimize AI workloads using NVIDIA technologies like CUDA-X libraries and TensorRT-LLM.
Help scale training and inference infrastructure for AI companies on NVIDIA platforms.
Guide startups through complex architectural decisions regarding model optimization and multimodal pipelines.
Collaborate with NVIDIA teams to influence the platform roadmap based on emerging AI trends.
Build strong relationships with technical leaders in the AI-native ecosystem to promote NVIDIA technologies.
Support the creation of reference architectures and best practices for scalable AI applications.
What we're looking for
5+ years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI and large-scale systems.
Deep expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications.
Strong understanding of the modern AI stack including LLMs, agent frameworks, multimodal models, and inference optimization.
Proven ability to influence product architecture and technical roadmaps with engineering teams and startup founders.
Hands-on experience building or scaling AI-powered products, developer platforms, or large-scale cloud services using NVIDIA technologies.
Exceptional communication skills for explaining complex AI systems to diverse audiences.
Experience working directly with AI-native startups in fast-moving environments.
Market check
Salary context
This
$152,000–$241,500
range sits above
47%
of similar postings on FindRole.
Peer median band
$164,800–$243,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$165,825–$248,925
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.