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At Verda
We're building a vertically-integrated European cloud computing platform designed for the full ML model lifecycle. Our growth depends on AI engineers and researchers finding Verda through technical content they trust and that respects their time - benchmarks they can reproduce and walkthroughs that get them to a result. That work has to come from one of them.
Join Verda while it's still being built - not once it's finished!
Why Verda
Verda is at the frontier of ML systems and AI infrastructure. As NVIDIA Preferred Partner, we've consistently been among the first to deploy across every hardware generation - from Ampere to Blackwell. Our customers include 1X, SGLang, and vLLM, and we've collaborated on ecosystem engagements with PyTorch, SemiAnalysis, and GPU MODE. Our internal AI Lab conducts research into ML systems engineering and model x hardware co-design, spanning distributed training, post-training RL, inference at scale, compilation, and kernels.
About The Role
You will be Verda's public technical voice for AI engineers and researchers. You will create deep-dive articles, benchmarks, walkthroughs, tutorials, and demos covering the ML model lifecycle — and build reproducible technical assets (repos, deployment templates, integrations) that AI developers can clone, run, and adapt to their own work.
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- Represent Verda at community meetups and industry events - speaking, running workshops, and engaging directly with engineers and researchers where they already are
- Collaborate with the world's leading AI companies across our partner network on co-authored content and technical deep dives that expand Verda's credibility in the broader AI ecosystem
- Work closely with our internal AI Lab as well as product engineering and go-to-market teams to identify high-impact ML/AI topics, translate new platform capabilities into developer-focused work, and feed the editorial calendar with material AI developers actually want to read
- Be the voice of the AI developer community inside Verda, bringing back what you hear from AI developers to product and engineering to help shape what we build next
- Measure adoption, engagement, and impact in partnership with the help from marketing operations, and refine your strategy based on what's actually working
Your key competencies
- Strong technical foundation in AI workloads and GPU infrastructure; comfortable with major ML frameworks such as PyTorch and the NVIDIA ecosystem
- At least 3 years in developer advocacy, developer relations, technical writing, or similar roles where public-facing work was a primary output
- Track record of producing technical content that AI developers want to engage with, with public work to point to
- Ability to simplify complex systems and infrastructure concepts into practical insights without losing precision
- Strong communication and storytelling skills for a technical audience; you can hold a room and write a tutorial that actually teaches
- Organized and self-driven; able to manage multiple content streams against a calendar that ships
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Nice to have
- Experience developer-tool, cloud infrastructure, AI-native, or fast-growing engineering-first companies
- Active in AI/ML developer communities such as GPU MODE with an existing or fast-building network you can draw on
Practicalities
- Location: Helsinki, Finland (Hybrid), London, UK (Hybrid), or Remote EU
- Employment: Full-time and permanent.
What's next
We're building fast and this role needs the right person behind it. There's no artificial deadline, but when we find who we're looking for, we move.
If this sounds like your next move, apply now.
Please submit your application through our Careers page. We don't accept applications sent by email.
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