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Senior Developer Relations Manager – Manufacturing (EMEA)

Software Engineer • Senior • Remote • Full-time • Switzerland Switzerland

A highly technical role at NVIDIA growing the developer ecosystem across industrial and manufacturing domains in EMEA. The role acts as a trusted technical advisor accelerating adoption of NVIDIA's AI and accelerated computing platforms for manufacturing use cases.

Responsibilities

  • ▹Serve as trusted technical advisor and advocate for the manufacturing and industrial developer ecosystem across EMEA (software developers, ISVs, startups, OEMs, system integrators)
  • ▹Accelerate adoption of NVIDIA technologies by demonstrating end-to-end manufacturing solutions (robotics, digital twins, simulation, computer vision, quality inspection, predictive maintenance, industrial AI)
  • ▹Design and deliver technical enablement assets: sample code, reference architectures, demonstrations, workshops and best-practice guides
  • ▹Guide partners and developers through onboarding, integration and optimization of NVIDIA platforms and programs
  • ▹Engage deeply with partner engineering teams and technical leaders and promote scalable, production-ready implementations
  • ▹Map, track and analyze the manufacturing developer ecosystem to identify gaps, opportunities and trends
  • ▹Collaborate cross-functionally with engineering, product management, solution architects, marketing and sales
  • ▹Represent the voice of manufacturing developers internally, giving structured feedback from the field to influence platform capabilities, tooling and documentation
  • ▹Support marketing and ecosystem programs: customer and partner success stories, technical content, events, launches and industry forums

Requirements

  • ▹Bachelor's or Master's degree in Computer Science, Engineering or a related technical field (or equivalent practical experience)
  • ▹8+ years of experience in software engineering, developer relations, technical partnerships or solution architecture, with at least 5+ years focused on industrial or manufacturing ecosystems
  • ▹Strong technical understanding of AI/ML applications in manufacturing (robotics, simulation, digital twins, industrial vision, data-driven automation)
  • ▹Familiarity with industrial software ecosystems (ISVs, platforms, solution stacks used in manufacturing)
  • ▹Proven ability to lead complex technical engagements across engineering, product, marketing and partner organizations
  • ▹Excellent communication skills

Soft skills

CommunicationCross-functional collaborationTechnical credibilityStrategic thinking

About the company

NVIDIA's employees are passionate about artificial intelligence, accelerated computing and the software- and AI-driven transformation of industries.

Education: Alap- vagy mesterdiploma informatika, mérnöki vagy kapcsolódó műszaki területen (vagy egyenértékű gyakorlati tapasztalat)

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