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DE01 NVIDIA Germany
2mo ago

Developer Relations Manager - Dach Region(m/w/x)

München
Full-timeOn-siteSenior
AI/ML
Data Science

Description

In this role, you will drive technical engagements in AI and ML, fostering relationships with developers and startups. Your focus will be on promoting GPU technology and leading initiatives that enhance its adoption across various industries.

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Requirements

  • Bachelor's Degree in Engineering, Science, Technical or related discipline or equivalent experience
  • Master's or Ph.D. preferred
  • Intellectual curiosity and passion for innovation
  • Experience in several verticals/industries with good knowledge and trends
  • Expertise in CUDA programming, GPU platforms, Deep Learning and Machine Learning frameworks
  • At least 8 years related experience
  • 5+ years experience in AI and ML software development environment or working with developers
  • At least 3 years experience in business development activities
  • Ability to work independently and possess excellent communication skills
  • Ability to influence, evangelize and persuade at operational and executive level
  • Ability to effectively deliver value propositions for specific industries
  • Ensure a positive experience for external customers and partners
  • Experience working on AI Deep Learning and Machine Learning Applications
  • Experience in AI Model Training/Inferencing and GPU related technologies
  • Strong technical understanding of Data Analytics, Conversational AI, Embedded System/Jetson
  • Experience in network communication protocol is an added advantage
  • Strong analytical, problem solving, and negotiation skills
  • Ability to use data analysis to support strategic decisions
  • Excellent organizational, planning, and execution skills

Education

Bachelor's degree
OR
Master's degree
OR
Doctoral / PhD

Work Experience

5 years

Tasks

  • Manage technical engagements in AI/ML applications development
  • Evangelize NVIDIA's technologies to accelerate adoption
  • Develop a technical strategy for GPU and NVIDIA platform adoption
  • Establish relationships with technical leaders and communities
  • Influence developers, startups, and ISVs in targeted industries
  • Promote GPU-accelerated AI and data science applications
  • Help developers understand the value of NVIDIA hardware and SDKs
  • Lead participation in customer and industry developer events
  • Chair technical activities across product divisions and sales geographies
  • Collaborate with solution architects and software developers
  • Contribute to local ecosystem strategy and value messaging
  • Serve as a key advisor on NVIDIA's differentiation
  • Act as a technology mentor for the software developer community

Tools & Technologies

CUDAGPU platformsDeep Learning frameworksMachine Learning frameworksAI Model TrainingInferencingData AnalyticsConversational AIEmbedded SystemJetson

Languages

EnglishBusiness Fluent

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