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About the Role

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. We are hiring a Technical Content Lead to explain the science and engineering behind Normal Inference Systems, making its performance and applications understandable to technical and commercial audiences. You will work directly with scientists, researchers and engineers, and own research communications for Normal's frontier applied AI research program.

Responsibilities

Write original blog posts, social copy, research stories, technical essays, whitepapers and explainers about Normal's hardware and applied AI research.
Develop content substance 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.
Edit, write and co-author external-facing content with technical experts, shaping arguments and strengthening explanations.
Polish presentations and customer collateral for intended audiences while maintaining technical accuracy.
Contribute original writing and technical judgment to website content, explainer videos and technical design assets.
Work with product marketing to explain Normal's specific advantages using industry insight and verified technical evidence.
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.
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.
Apply knowledge to original writing and broader team projects, keeping public-facing content current.
Distinguish measured results from targets and projections.
Interpret benchmarks and results, develop useful comparisons and explain the performance of Normal Inference Systems.
Develop the technical substance of evaluation materials, decks, briefs and FAQs.
Explain system capabilities, integration requirements and workload economics to help customers evaluate the product.
Turn recurring customer questions into useful, searchable technical explanations.
Connect answers to relevant research and evaluation materials, and keep them current.
Develop diagrams, plots, reproducible examples or notebooks with internal experts and external collaborators.
Join relevant research, product and customer discussions to understand questions and constraints.
Use lab sessions, roadshows and account feedback to improve materials and identify stories worth developing.
Resolve open questions with the right experts and keep review moving against deadlines.
Maintain consistent company language and product naming, and update published content when new evidence changes the answer.

Requirements

A portfolio of substantial technical work authored by you and explainable in depth, with evidence of consistently publishing strong work at pace.
Deep-tech journalism or equivalent in-house writing and editing experience.
Research, engineering and technical marketing backgrounds can qualify with evidence of original writing, editorial judgment and delivery.
Ability to engage in substantive discussions with technical leads and develop original writing from primary sources.
Ability to go deep enough into subjects such as AI inference, computer architecture, semiconductors or computational physics to write credibly and precisely.
Ability to build understanding from primary sources and expert conversations, identify knowledge gaps and learn challenging new material quickly.
Ability to read a research paper, question a benchmark and explain a mechanism in your own words.
Understanding of when a conclusion depends on an assumption, what makes a comparison valid and which question requires another measurement.
Comfort with benchmark data, plots and technical diagrams, and with code or notebooks when they are part of the underlying work.
Experience creating runnable examples or reproducible technical artifacts is useful.
Ability to write for a domain expert and adapt the same substance for a customer or executive with clarity and precision.
Ability to think about the visual explanation alongside the prose.
Ability to earn the trust of researchers and engineers and bring your own thinking to projects across the team.
Ability to share work early, invite contributions and help colleagues strengthen and amplify their content.
Ability to turn new developments into publishable work quickly, manage expert reviews and meet a regular publishing cadence while protecting technical accuracy.
Willingness to travel for team collaboration, lab work, customer evaluations and relevant industry events.

Skills

Technical writing
Editorial judgment
Publishing
Content strategy
Technical communication
AI inference
Computer architecture
Semiconductors
Computational physics
Benchmark analysis
Data visualization
Cross-functional collaboration
Project management

Location

New York City
Silicon Valley (Mountain View)
London
Copenhagen
Seoul

Work Type

Full-time
Hybrid

Experience Level

Senior individual-contributor

About the Company

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), London, Copenhagen, and Seoul.

Equal Opportunity

Normal Computing is an Equal Opportunity Employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities.
If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice.