Developer Relations Manager, Retail & Media Entertainment

NVIDIA
Munich
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Communication","Influencing","Leadership","Customer engagement","Public speaking"]

Lead technical engagements with startups and software partners building AI agents and generative AI apps for Retail and Media/Entertainment across EMEA. Evangelize NVIDIA tools (Triton, TensorRT-LLM, NeMo, CUDA) to optimize model performance, publish tutorials and samples, and collaborate with solution architects to tune deployments and drive adoption.

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FursaFursa
NVIDIA
NVIDIA
4 months ago

Developer Relations Manager, Retail & Media Entertainment

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead technical engagements with startups and software partners building AI agents and generative AI apps for Retail and Media/Entertainment across EMEA. Evangelize NVIDIA tools (Triton, TensorRT-LLM, NeMo, CUDA) to optimize model performance, publish tutorials and samples, and collaborate with solution architects to tune deployments and drive adoption.
Location: Munich
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Act as the technical point of contact for startups and developers building native LLM and multi-modal applications or adding AI Agents to their apps.
  • •Help developers leverage NVIDIA’s Gen AI tools to optimize model performance and scalability (Triton Inference Server, TensorRT-LLM, NeMo, CUDA-accelerated pipelines).
  • •Build and deliver sample applications, tutorials, and technical content that highlight best practices for building with LLMs and agentic workflows.
  • •Partner with solution architects to benchmark improvements and support performance tuning of LLM deployments across NVIDIA platforms.
  • •Represent the company at industry events, customer meetings, developer meetups, and hackathons, evangelizing our LLM and Agentic AI strategy.

Key Requirements

  • •Bachelor's Degree in Engineering, Science, Technical or related discipline; Master's or Ph.D. preferred. Intellectual curiosity and passion for innovation.
  • •At least 8 years of related experience in AI/ML software development or working with developers.
  • •5+ years of experience in an AI/ML software development environment or with developers, and at least 3 years in business development.
  • •Expertise in CUDA programming, GPU platforms and Deep Learning/ML frameworks.
  • •Strong ability to influence, evangelize, and persuade at operational and executive levels to achieve targeted outcomes and drive customer engagements.
Experience:RetailEMEAAIGenerative AILLMGPUCUDA
Education:Bachelor's
Skills:CommunicationInfluencingLeadershipCustomer engagementPublic speaking
Tech Stack:CUDATritonTensorRTNeMoCUDA-acceleratedGPUDeep LearningLLM

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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