Manufacturing AI DevRel Lead (EMEA)

NVIDIA Switzerland AG; Lavamünd; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

NVIDIA is seeking a highly technical Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the manufacturing developer ecosystem across industrial domains. You will work closely with developers, ISVs, startups, OEMs, and system integrators to accelerate adoption of NVIDIA’s AI and accelerated computing platforms for manufacturing use cases.

The ideal candidate combines deep knowledge of industrial software ecosystems with strong technical credibility, developer advocacy

Qualifikationen

• 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, including robotics, simulation, digital twins, industrial vision, or data‑driven automation.
• Familiarity with industrial software ecosystems, including ISVs, platforms, and solution stacks used in manufacturing environments.
• Proven ability to lead complex technical engagements and collaborate across engineering, product, marketing, and partner organizations.
• Excellent communication skills with the ability to translate complex technical concepts for audiences ranging from hands‑on developers to technical executives.
• Passion for developer advocacy, ecosystem development, and working in fast‑paced, highly collaborative environments.
• Coachability, intellectual curiosity, and a continuous learning mindset.
• Strong written and spoken English; additional European languages are a plus.

Aufgaben

• Serve as the trusted technical advisor and advocate for the manufacturing and industrial developer ecosystem across EMEA, working closely with software developers, ISVs, startups, OEMs, and system integrators.
• Accelerate adoption of NVIDIA technologies by demonstrating end‑to‑end solutions for manufacturing workloads such as robotics, digital twins, simulation, computer vision, quality inspection, predictive maintenance, and industrial AI.
• Design and deliver technical enablement assets including sample code, reference architectures, demonstrations, workshops, and best‑practice guides tailored to manufacturing and industrial use cases.
• Guide partners and developers through onboarding, integration, and optimization of NVIDIA platforms and programs, fostering co‑innovation and early technical success.
• Engage deeply with partner engineering teams and technical leaders to understand requirements, solve complex technical challenges, and promote scalable, production‑ready implementations.
• Map, track, and analyze the manufacturing developer ecosystem to identify gaps, opportunities, and emerging trends that inform NVIDIA’s adoption and engagement strategies.
• Collaborate cross‑functionally with engineering, product management, solution architects, marketing, and sales to align developer feedback with product roadmaps and go‑to‑market initiatives.
• Represent the voice of manufacturing developers internally, providing structured feedback from field engagements to influence platform capabilities, tooling, and documentation.
• Support marketing and ecosystem programs by highlighting customer and partner success stories, contributing to technical content, events, launches, and industry forums.

Kenntnisse

Technical leadership

AI/ML for manufacturing

Communication skills

Developer advocacy

Ecosystem development

Ausbildung

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

CUDA

Omniverse

AI frameworks

Jobbeschreibung

NVIDIA is seeking a highly technical Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the manufacturing developer ecosystem across industrial domains. You will work closely with developers, ISVs, startups, OEMs, and system integrators to accelerate adoption of NVIDIA’s AI and accelerated computing platforms for manufacturing use cases.

The ideal candidate combines deep knowledge of industrial software ecosystems with strong technical credibility, developer advocacy