--- title: 'Product Manager at Normal Computing Corporation' canonical: 'https://feeny.ai/job/product-manager-normal-computing-corporation-new-york-5vtr50dyxm8q' type: 'job' last_seen: '2026-10-15' --- # Product Manager at Normal Computing Corporation - **Company:** Normal Computing Corporation - **Location:** New York, NY - **Compensation:** $206k–$225k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-14 - **Last confirmed live:** 2026-10-15 - **Apply:** https://jobs.ashbyhq.com/normalcomputing/acc80301-3574-4cc8-904a-fb66a346ebd4 ## 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), London, Copenhagen, and Seoul. ## The Role As an early-career Product Manager, you'll work with the Product Lead and the engineering teams to help build the AI systems and autoresearch platform our ASIC team needs to tapeout unconventional, physics-based architecture. We are rethinking the chip design system from the ground up, automating the process of research: exploring the full design space, generating candidate architectures, evaluating them at appropriate levels of fidelity, and feeding learnings from experiments run in hardware labs and deployed silicon into the next generation chip. Domains of exploration include RTL optimization, design verification, and continual learning from experiment results. You'll help decide what we build, then be accountable for delivering on the incremental milestones to tapeout. On any given day, you might sit with a chip architect benchmarking novel architectures, shadow a verification debug session and come back with a proposal for what to automate, scope out the requirements and success criteria for a custom EDA tool, or prototype an experiment dashboard. This is a building role. You'll write specs, run experiments, and use coding agents to prototype and land fixes yourself. When you have an idea, we would rather you spend an afternoon prototyping a rough version than a week describing it. No semiconductor background is required to start. In your first few months the bar is understanding how the team works, asking the questions that move a design discussion forward, and earning trust by following through on deliverables. ## What You'll Own - AI tooling scope: Investigate where the ASIC team's time actually goes, decide what we build, then be accountable for whether it gets used. - Specs and prototypes: Write the requirements docs and user journeys that engineering builds from. Where a working prototype communicates faster than a document, build the prototype instead. - Prototype to production: Work with engineers to turn a promising prototype into something the ASIC team can rely on. - Shipping small changes: Work in the codebase with coding agents, open PRs for bug fixes or UI changes, learn from code reviews from engineers, and develop judgment about which changes are yours to make. What Makes You a Great Fit - A degree in CS, EE, physics, math, or similar, or the equivalent taught to yourself. - 1-3 years of experience in product management, engineering, research, technical program management, or a related technical role. - You can point to something that was your idea and that you made real. - Fluency with coding agents. You already use Claude Code, Codex, Cursor, or something similar as a normal part of how you work. - Experience building or evaluating LLM-powered products. - Clarity of communication in both speaking and writing. - Comfort with ambiguity. Much of what you work on will be underspecified. You should be able to take a vague problem, frame it, and come back with a proposal. - Interest in how chips are designed. Bonus Points - Coursework, research, or internship experience in chip architectures, digital design, verification, or hardware performance modeling. - Exposure to SystemVerilog. - Familiarity with the mechanisms underlying LLM inference ## 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 - [Senior Technical Recruiter](https://feeny.ai/job/senior-technical-recruiter-normal-computing-corporation-silicon-valley-888xywk6gmt7) — Silicon Valley - [Hardware Engineer, FPGA](https://feeny.ai/job/hardware-engineer-fpga-normal-computing-corporation-new-york-4v6epje87dne) — New York, NY - [Platform Engineer](https://feeny.ai/job/platform-engineer-normal-computing-corporation-silicon-valley-vz152nhsh8vd) — Silicon Valley - [Research Engineer, Agentic EDA](https://feeny.ai/job/research-engineer-agentic-eda-normal-computing-corporation-new-york-n9n5s5w4myky) — New York, NY - [Hardware Engineer, ASIC Architect](https://feeny.ai/job/hardware-engineer-asic-architect-normal-computing-corporation-silicon-valley-6fvq60qmptdw) — Silicon Valley - [Hardware Engineer, System Architect](https://feeny.ai/job/hardware-engineer-system-architect-normal-computing-corporation-silicon-valley-ewmb4smy3n8k) — Silicon Valley - [Software Engineer, Terminal Interface](https://feeny.ai/job/software-engineer-terminal-interface-normal-computing-corporation-new-york-4wm9d2tfm0ja) — New York, NY - [Talent Operations Specialist](https://feeny.ai/job/talent-operations-specialist-normal-computing-corporation-silicon-valley-rj0rjeg87g4x) — Silicon Valley - [Thermodynamic Hardware Resident](https://feeny.ai/job/thermodynamic-hardware-resident-normal-computing-corporation-new-york-jg4avbjrxt43) — New York, NY - [AI Research Resident](https://feeny.ai/job/ai-research-resident-normal-computing-corporation-new-york-44frw5ybhavm) — New York, NY