Normal Computing | Build with Us

Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), and London.

Your Role in Our Mission

We are hiring a Technical Content Lead: a deep-tech journalist or an in-house writer with equivalent technical depth, editorial judgment and a strong publishing record, to explain the science and engineering behind Normal Inference Systems. You will help establish language for an unfamiliar architecture and make its performance and applications understandable to technical and commercial audiences.

You will work directly with scientists, researchers and engineers, read the underlying papers and results, and learn challenging new science every day. You will hold the pen on blog posts, social copy, research stories, technical essays and evaluation materials, while helping engineers and researchers craft and improve their own content. Alongside the hardware, you will own research communications for Normal's frontier applied AI research program, which develops AI methods for silicon design and verification.

This is a senior individual-contributor role reporting to the Head of Communications and embedded with Engineering. You will be the Communications and Marketing team's subject-matter expert on technical content, progress and the hardware roadmap. Original technical writing and editorial partnership with technical experts are the core of the role, with other projects prioritized with the Head of Communications. You will also advise and co-create across the website, explainer videos and technical design assets with colleagues in editorial, product marketing, media relations, brand design and social production.

Responsibilities

Write technical content. Write original blog posts, social copy, research stories, technical essays, whitepapers and explainers about Normal's hardware and applied AI research. Develop the substance and argument directly with scientists, researchers and engineers, lead pieces through expert review, and work with editorial colleagues on framing, voice and publication. Draft technical documentation that supports research communication and customer evaluation.

Strengthen shared content. Edit, write and co-author external-facing content with technical experts, shaping arguments, strengthening explanations and supporting expert review. Polish presentations and customer collateral for their intended audiences while maintaining technical accuracy. Contribute original writing and technical judgment to website content, explainer videos and technical design assets with Communications and Marketing colleagues. Work with product marketing to explain Normal's specific advantages using industry insight and verified technical evidence.

Track the industry. Continuously track industry products, competitive positioning, ecosystem developments and value propositions. Keep the Communications and Marketing team current with weekly reports on industry trends and milestones, and timely updates on developments that affect our work.

Embed with Engineering. Join regular engineering and silicon team meetings to support their content needs and stay current on their work. Brief Communications and Marketing regularly on verified progress, technical definitions, performance, configurations and roadmap or timeline changes. Flag matters needing the Head of Communications' involvement. Apply that knowledge to original writing and broader team projects, keeping public-facing content current. Distinguish measured results from targets and projections. Keep confidential and unreleased information internal until approved for external use.

Explain technical performance. Work with Engineering to interpret benchmarks and results, develop useful comparisons and explain the performance of Normal Inference Systems to technical and commercial audiences.