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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - AI Natives

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A BS or MS degree or equivalent experience in Computer Science, Engineering, or a related field.
  • At least 5 years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI, developer platforms, or large-scale software systems.
  • Hands-on experience building or scaling AI-powered products, developer platforms, or large-scale cloud services.
  • Strong expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications.
  • Deep understanding of the modern AI stack, including large language models, agent frameworks, multimodal models, and inference optimization.
  • Proven ability to work closely with engineering teams and startup founders to influence product architecture and technical roadmaps.
  • Ability to explain complex AI systems to audiences ranging from engineers to startup founders and executives.
  • Experience working within fast-moving startup environments or supporting high-growth developer ecosystems.

Responsibilities

  • Serve as a trusted technical advisor to AI-native companies building applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools.
  • Work directly with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies, including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.
  • Help AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.
  • Guide startups through architectural decisions involving model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
  • Collaborate with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA’s platform roadmap.
  • Build relationships with founders, CTOs, and technical leaders across the AI-native ecosystem to establish NVIDIA as the platform of choice for innovative AI companies.
  • Support the creation of reference architectures, AI blueprints, and best practices that enable AI-native companies to deploy scalable AI applications and agentic systems.
  • Partner with NVIDIA’s Industry Business Development teams, Solutions Architects, and Account Managers to accelerate adoption of NVIDIA technologies across high-growth AI-native companies.

Desired Qualifications

  • Experience working with AI-native startups building developer tools, AI copilots, agent platforms, search systems, or multimodal applications.
  • Hands-on experience optimizing large language model training or inference workloads using TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies.
  • Experience building or scaling AI infrastructure platforms, developer tools, or agent frameworks used by large developer communities.
  • Demonstrated success working directly with startup founders and early engineering teams to shape product architecture and platform strategy while helping them scale into platform companies.
  • Experience contributing to open-source AI frameworks or developer ecosystems.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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