--- title: 'Social & Brand Content Lead at Normal Computing Corporation' canonical: 'https://feeny.ai/job/social-brand-content-lead-normal-computing-corporation-new-york-c5gggrpagxkn' type: 'job' last_seen: '2026-11-05' --- # Social & Brand Content Lead at Normal Computing Corporation - **Company:** Normal Computing Corporation - **Location:** New York, NY - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-11-04 - **Last confirmed live:** 2026-11-05 - **Apply:** https://jobs.ashbyhq.com/normalcomputing/3d2bfb07-e152-406f-8bd3-6af7e00c0cfd ## Job description 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 Social & Brand Content Lead to build Normal's audience, attract technical talent and tell a distinctive story about the future of AI computing. This is a hands-on, in-house individual-contributor role. You will spend most of your time finding stories with researchers and engineers, making original social content and publishing it. Your work will show what makes our hardware different and give people a reason to follow Normal and consider joining the team. The challenge is to make unfamiliar hardware and demanding technical ideas compelling without losing what makes them accurate. A first successful hardware run, an engineering tradeoff or a scientist's explanation could become a short film, a live conversation or a recurring series. You will find the stories that help people understand a different approach to AI computing and want to be part of building it. Reporting to the Head of Communications, you will own ideas from concept through production, distribution and iteration. You will work closely with colleagues in research, engineering, design, editorial and media relations to build a sustained audience for Normal's work. ## Responsibilities - Create original social content. Develop ideas that connect our research and hardware to questions people care about. Use creative positioning and counter-positioning to show what makes Normal distinctive. Write and make videos, visual stories, demos and repeatable formats, owning the work through publication and iteration. Capture useful moments in the lab and across the company, with appropriate technical review, to sustain an organic daily presence between major launches. - Grow a relevant social audience. Own channel strategy, hands-on publishing and audience growth, with X as a priority platform and particular attention to engineers, researchers and prospective colleagues. Help technical talent understand the work they could do at Normal and the people they could work with. Test new channels, hooks, formats, cadence and distribution. Use performance and audience feedback to improve the work and understand why people follow, share and return. - Lead social and brand content campaigns. Originate bold, playful and provocative ideas that get engineers and researchers talking about Normal. Take ideas through production, distribution and iteration. - Keep Normal in relevant conversations. Follow AI, technology and internet culture. Turn relevant developments into original content and timely spokesperson briefings, bringing a clear point of view grounded in Normal's work. - Build community relationships. Engage developers, researchers and community organizers through useful demos and conversations. Bring their questions back to the team. Test interviews, podcasts, AMAs and livestreams that can grow and deepen Normal's audience. - Explore new media opportunities. Develop creator collaborations and evaluate sponsorships and podcast opportunities based on audience fit, creative potential, cost and likely impact. Produce content and activations, then use results to decide which experiments deserve more investment. - Create event-led social content. Partner with the events team on social content for selected launches, conferences and company-hosted events. Contribute ideas and publish content before, during and after. Capture our CEO and other leaders at speaking engagements, including informal conversations and behind-the-scenes moments. Day-to-day social production and audience growth remain the primary focus of the role. - Accelerate the impact of our technical work. Partner with scientists, engineers and leaders to expand the reach of their work through social stories and recruiting content. Build on their expertise and existing audiences, preserving their individual voices. Create simple ways for colleagues to contribute regularly, with the shared goal of growing Normal's audience and reputation. ## What We Are Looking For - Audience growth. You have grown a relevant social audience through original content and sustained publishing, whether for a company, a technical community or your own work. Show us the growth, timeframe and audience relevance, with clear examples of your own creative, production and distribution work. - Hands-on creative craft. You have a strong production skill, such as video, writing or design, and can take an idea into finished work. You can brief specialists, judge their work and bring the pieces together. Show us what you made yourself and what you led through others. - Taste and internet fluency. You closely follow AI, technology and internet culture and understand the technical conversations, communities and formats that resonate. Your work shows a point of view, good judgment about audience and channel, and attention to execution. - Technical fluency and collaboration. You can discuss AI research and hardware with technical colleagues, ask informed questions, and turn expert input into credible, engaging content without overstating it. Show us how you learned difficult technical material and made it useful to an audience. Demonstrated ability matters more than a particular degree or employer. - Social portfolio. Your portfolio shows original social content, good judgment about format and audience, and depth in at least one production craft. Show how you developed, published and improved the work, distinguishing your own contribution from collaborators' work. Experience with creators and developer communities is useful. - Creative collaboration and delivery. You can lead a creative project, coordinate production partners, give useful feedback and manage deadlines and budgets while keeping confidential information secure. - Travel readiness. Willingness to travel for lab and product filming, customer and partner stories, conferences and Normal-hosted experiences. ## Equal Employment Opportunity Statement 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. Accessibility Accommodations 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. Privacy Notice 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](https://normalcomputing.com/applicant-privacy-notice). ## About Normal Computing Corporation ## Company Overview - **One-liner**: Normal Computing builds AI-accelerated EDA software and physics-based ASICs to enable ultra-efficient hardware for the AI era. - **Entity Type**: Private (Series B; total funding $92.5M) - **Headquarters**: New York, New York, USA - **Founded**: 2022 - **Founders**: Faris Sbahi (CEO), Matthias Tan (Co-Founder), and team of former Google Brain/Google X engineers and scientists ## Core Business - Primary industry: Semiconductor design (EDA) and custom silicon (ASICs), powered by AI and probabilistic computing. - Target customers: Large semiconductor design and manufacturing institutions (B2B, enterprise). - Mission: "Rewriting AI foundations to advance the frontier of reasoning and reliability in the physical world" and enabling a virtuous cycle of self-improving AI hardware. ## Products & Services - **[Normal EDA](https://normalcomputing.com/)**: An AI-driven electronic design automation platform that understands design intent from specification documents, generates hierarchical test plans with traceability, creates SystemVerilog stimulus, runs simulations, and tracks coverage. It continuously learns from team feedback to accelerate verification for complex chip designs. - **[Normal ASICs](https://normalcomputing.com/)**: Physics-based custom ASICs that relax traditional computing assumptions (stochastic, stateful, asynchronous) to unlock orders-of-magnitude more efficient compute. Designed to converge hardware with the physical dynamics of AI models. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed. - **Key Metric**: **Total Funding** – $92.5M across multiple rounds (Seed, Venture, Grant, Series B). Notable recent round: $50M led by **Samsung Catalyst** in March 2026 [normalcomputing.com](https://normalcomputing.com/). - **Notable Investors**: Samsung Catalyst Fund, Intel Ignite, First Spark Ventures, Celesta Capital, ARIA. Also partners with Fraunhofer IESE (DRAMBench benchmark). - **Growth Signals**: Headcount grew **196.3% YoY** to 54 employees; operates across 6 countries (US, UK, Denmark, Switzerland, India, Canada); actively building open-source tools (e.g., a Verilog simulator built with AI: 580K lines in 43 days). ## Competitive Advantages - **Physics-First Approach**: Unlike traditional digital logic, Normal’s ASICs embrace stochastic, stateful, and asynchronous computing – aligning hardware with the physics of AI models for dramatic efficiency gains. - **Full-Stack Co-Design**: The combination of AI-native EDA tools and custom silicon creates a closed loop where software and hardware are co-optimized, shortening time-to-market and enabling workload-specific ASICs. - **Deep AI Heritage**: Founders and team hail from Google Brain and Google X, bringing deep expertise in probabilistic ML, quantum AI, and physical-world reasoning. ## Strategic Focus - **Scaling EDA Adoption**: Expanding Normal EDA’s use among top semiconductor companies to "make chip design look more like software". - **AI Hardware Energy Crisis**: Tackling soaring power demands of AI by delivering ultra-efficient ASICs that can be produced for every workload. - **Open-Source & Research**: Building community trust through open benchmarks (DRAMBench) and tools (CIRCT-based verification), while advancing formal methods and AI-driven simulation. ## Why Work Here - **Hybrid Workspace**: Flexible in-office collaboration at offices in **New York (Flatiron HQ)**, **San Francisco**, **London**, and **Copenhagen**. In-person collaboration is valued but with flexibility; free lunch, snacks, and beverages in office. - **Lean, High-Impact Team**: Small team (54 employees) where every member drives significant impact, works directly with customers, and owns meaningful parts of the product. - **Interdisciplinary Challenges**: Work spans AI, probabilistic software, hardware, physics, and full-stack engineering – ideal for curious, passionate problem-solvers. - **Strong Growth Trajectory**: Rapid headcount growth (+196% YoY), recent $50M Series B, and partnerships with industry giants signal a well-funded, high-potential startup. ## Sources 1. [normalcomputing.com](https://normalcomputing.com/) 2. [normalcomputing.com/about](https://normalcomputing.com/about) 3. [linkedin.com/company/normal-computing-corporation](https://www.linkedin.com/company/normal-computing-corporation) 4. [builtin.com/company/normal-computing](https://builtin.com/company/normal-computing) 5. [jobs.ashbyhq.com/normalcomputing](https://jobs.ashbyhq.com/normalcomputing) ## Other roles at Normal Computing Corporation - [Hardware Engineer, FPGA](https://feeny.ai/job/hardware-engineer-fpga-normal-computing-corporation-london-4v6epje87dne) — London, United Kingdom - [Senior Technical Recruiter](https://feeny.ai/job/senior-technical-recruiter-normal-computing-corporation-mountain-view-888xywk6gmt7) — Mountain View, CA - [Systems/Rack Architect](https://feeny.ai/job/systems-rack-architect-normal-computing-corporation-mountain-view-ewmb4smy3n8k) — Mountain View, CA - [Hardware Engineer, Analog Design](https://feeny.ai/job/hardware-engineer-analog-design-normal-computing-corporation-mountain-view-r1jzd36anhk6) — Mountain View, CA - [RTL Lead](https://feeny.ai/job/rtl-lead-normal-computing-corporation-mountain-view-1hjck5sazc2b) — Mountain View, CA - [Custom Memory Design Engineer](https://feeny.ai/job/custom-memory-design-engineer-normal-computing-corporation-mountain-view-0cqk0mdz5915) — Mountain View, CA - [AI Research Resident (Algorithms Codesign)](https://feeny.ai/job/ai-research-resident-algorithms-codesign-normal-computing-corporation-new-york-60jxmxr64wk5) — New York, NY - [Engineering Manager, Compiler & Runtime](https://feeny.ai/job/engineering-manager-compiler-runtime-normal-computing-corporation-mountain-view-tt9vtnwjygvt) — Mountain View, CA - [Events & Conferences Specialist](https://feeny.ai/job/events-conferences-specialist-normal-computing-corporation-new-york-3rgsr2f7hkhj) — New York, NY - [Mechanical Engineer, Hardware Systems](https://feeny.ai/job/mechanical-engineer-hardware-systems-normal-computing-corporation-mountain-view-n9eqr3h1hgbh) — Mountain View, CA