обновлено 14 часов назад
AI Developer Advocate
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Developer Advocate (AI/ML infrastructure): Creating technical content, benchmarks, walkthroughs, tutorials, demos, and reproducible developer assets for a vertically integrated cloud platform covering the ML model lifecycle with an accent on GPU infrastructure, PyTorch, and the NVIDIA ecosystem. Focus on translating complex AI systems into practical guidance, representing the platform at technical events, and shaping product direction through developer feedback and adoption analysis.
Location: Hybrid in Helsinki, Finland, or London, UK; remote within the EU
Company
is building a vertically integrated European cloud computing platform for the full ML model lifecycle, including AI infrastructure and ML systems research.
What you will do
- Create deep-dive articles, benchmarks, walkthroughs, tutorials, and demos for AI engineers and researchers.
- Build reproducible technical assets such as repositories, deployment templates, and integrations.
- Represent at community meetups and industry events through talks, workshops, and direct engagement.
- Collaborate with AI companies and partners on co-authored technical content and ecosystem initiatives.
- Work with the AI Lab, product engineering, and go-to-market teams to identify relevant ML and AI topics.
- Bring developer feedback into product and engineering decisions while measuring content adoption, engagement, and impact.
Requirements
- Strong technical foundation in AI workloads and GPU infrastructure.
- Hands-on familiarity with major ML frameworks, including PyTorch, and the NVIDIA ecosystem.
- At least 3 years of experience in developer advocacy, developer relations, technical writing, or a similar public-facing role.
- Public examples of technical content that AI developers engage with.
- Ability to explain complex systems and infrastructure concepts precisely through writing and presentations.
- Strong organization and self-direction with the ability to manage multiple content streams.
Nice to have
- Experience with developer tools, cloud infrastructure, AI-native, or fast-growing engineering-focused companies.
- Active participation in AI/ML developer communities such as GPU MODE.
Culture & Benefits
- Full-time, permanent employment.
- Opportunity to join while the platform is still being built.
- Work with the internal AI Lab and leading AI companies across the partner network.
- Exposure to distributed training, post-training reinforcement learning, inference at scale, compilation, kernels, and model-hardware co-design.
Hiring process
- Applications are submitted through the Careers page; applications by email are not accepted.
- There is no fixed application deadline; hiring continues until the role is filled.
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