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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - Retail & Media Entertainment

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-time€89.1k - €194.5kRemote

About the Job

Requirements

  • A bachelor's degree in engineering, science, a technical discipline, or another related discipline, or equivalent experience.
  • Experience in relevant industry verticals and knowledge of industry trends.
  • Expertise in CUDA programming, GPU platforms, and deep learning and machine learning frameworks.
  • At least 8 years of related experience engaging developer product and engineering organizations.
  • At least 5 years of experience in an AI and machine learning software development environment or working with developers in these areas.
  • At least 3 years of experience in business development activities.
  • Ability to work independently and communicate effectively to drive customer and internal engagements.
  • Ability to influence, evangelize, and persuade operational and executive audiences, including engineering and product management, to achieve targeted outcomes.
  • Ability to execute and accelerate strategic decisions.
  • Ability to deliver value propositions effectively for specific industries.
  • Ability to ensure positive experiences for external customers and partners while working cross-functionally within the organization.

Responsibilities

  • Act as the technical point of contact for startups and developers building native large language model and multimodal applications or adding AI agents to existing applications.
  • Help developers use NVIDIA tools for generative AI and large language models, including Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines, to optimize model performance and scalability.
  • Build and deliver sample applications, tutorials, and technical content demonstrating best practices for large language models and agentic workflows.
  • Partner with solution architects to benchmark improvements and support performance tuning of large language model deployments across NVIDIA platforms.
  • Guide startups through integration with NVIDIA's generative AI stack and support their certification in NVIDIA partner programs.
  • Represent the company at industry events, customer meetings, developer meetups, and hackathons, evangelizing its large language model and agentic AI strategy to technical and industry audiences.
  • Gather developer feedback to inform product and roadmap decisions related to large language model inference, training, and deployment tools.
  • Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

Desired Qualifications

  • Hands-on experience building or optimizing retail- or media-specific solutions.
  • Proven expertise influencing and inspiring non-technical, C-level decision-makers.
  • Strong industry knowledge and direct experience in retail, media, and entertainment in EMEA.
  • Familiarity with advanced computing, artificial intelligence, and GPU acceleration platforms, including CUDA, Triton, and NeMo.
  • Track record designing and implementing systems for real-time processing and low-latency decision-making.
  • A master's or Ph.D. degree.

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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