--- title: 'Mechanical Engineer, Hardware Systems at Normal Computing Corporation' canonical: 'https://feeny.ai/job/mechanical-engineer-hardware-systems-normal-computing-corporation-mountain-view-n9eqr3h1hgbh' type: 'job' last_seen: '2026-10-29' --- # Mechanical Engineer, Hardware Systems at Normal Computing Corporation - **Company:** Normal Computing Corporation - **Location:** Mountain View, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-10-29 - **Apply:** https://jobs.ashbyhq.com/normalcomputing/5274c553-920a-4c10-8b86-24c98f52ca1d ## 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. ## The Role Normal is building AI inference hardware based on our Thermo In-Memory Computing architecture, designed to deliver orders-of-magnitude more efficient compute. As the founding mechanical engineer on our hardware team, you will define the physical design of that hardware at every level of integration, from the accelerator through the server to the rack. You will help determine what fits, what can be cooled, what can be serviced, and where an existing supplier platform does the job. You report to the head of our hardware systems organization and partner with our silicon, systems, and deployment engineers, and with the external design and manufacturing partners who build to our drawings. We're looking for someone who thrives on turning a system architecture into hardware and takes pride in catching the problem before the build does. The form factor, thermal envelope, mounting, and serviceability decisions you make set the foundation for the systems Normal ships, and the hardware you define is the hardware our customers run. Candidates from OEM and ODM server teams, hyperscaler infrastructure teams, and earlier-stage hardware companies could all be well qualified for this role. ## What You Will Own - Mechanical Design: Own the electromechanical design of our inference hardware as it moves from engineering configuration to deployable product, including form factor, thermal solution and airflow, connectors and cabling, and the power and thermal envelope it has to live within. - System Configuration: Build the mechanical definition of what we ship, from the assembly structure and BOM to the envelope every board and component has to fit within, and identify assembly, cooling, and serviceability problems before parts are ordered. Engineering and go-to-market build against it. - Server Integration: Define the mechanical integration of compute, host platform, networking, and power in the chassis, validate airflow and thermals with the system fully populated, and design for serviceability by a technician in a live rack. - Rack Integration: Set the rack configuration, power distribution layout, cabling, weight and blanking plan, and the mounting approach across standard and open-rack formats. - Build Readiness: Own drawing and BOM releases, manufacturability, supplier engineering reviews, and the resolution of build failures. Weigh the cost and lead-time consequences of design and supplier choices before they are made, and run bring-up and validation on real hardware in our lab. - Compliance and Reliability: Own mechanical and thermal qualification, writing the test specifications and procedures, running shock, vibration, and thermal cycling, and taking lab and field failures to root cause. Coordinate safety and EMC certification and environmental compliance with the electrical team and the test lab. What Makes You a Great Fit - Six or more years, or equivalent shipped work, owning accelerator or server hardware. You have taken a relevant design from prototype through qualification and production, and can explain what you designed, what failed, and what you changed. - Strong mechanical design skills in SolidWorks, Creo, NX, or similar, including FEA, tolerance analysis, and design for manufacturing. You can release drawings that a manufacturing partner can build from. - Hands-on thermal design and validation for server or accelerator hardware, with strong first-principles reasoning and practical lab experience. - Experience integrating server hardware into standard chassis and racks, with an understanding of mechanical interfaces and serviceability. - Electrical fluency to read schematics and work with electrical engineers on power and interconnect integration. - Experience directing external design or manufacturing partners, including reviewing designs, releasing build documentation, and resolving issues during builds. Bonus Points - Direct experience turning industrial design concepts and appearance models into production mechanical designs. - Experience shipping hardware to external customers, including certification, documentation, and service obligations. - Experience with soft and hard tooling decisions and fixture and test setup design with an ODM or contract manufacturer. - Experience integrating liquid cooling into server or rack systems. - Experience designing to Open Compute Project or other open modular server and rack architectures. ## 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 - [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 - [Compiler Frontend Engineer](https://feeny.ai/job/compiler-frontend-engineer-normal-computing-corporation-mountain-view-xd4ytzz9zmbz) — Mountain View, CA - [Simulator & Debug Tools Lead](https://feeny.ai/job/simulator-debug-tools-lead-normal-computing-corporation-mountain-view-tg38bb3b0dx4) — Mountain View, CA - [Firmware Engineer](https://feeny.ai/job/firmware-engineer-normal-computing-corporation-mountain-view-92p63r8rsgdk) — Mountain View, CA - [TPM Lead](https://feeny.ai/job/tpm-lead-normal-computing-corporation-mountain-view-d92ny63s7jex) — Mountain View, CA - [Hardware Engineer, DFT](https://feeny.ai/job/hardware-engineer-dft-normal-computing-corporation-mountain-view-xv7mzqfbedsx) — Mountain View, CA - [Head of Silicon Product Engineering](https://feeny.ai/job/head-of-silicon-product-engineering-normal-computing-corporation-mountain-view-c514zrdswrxf) — Mountain View, CA - [Hardware Engineer, Performance Modeling](https://feeny.ai/job/hardware-engineer-performance-modeling-normal-computing-corporation-mountain-e9pgdhrbq1cy) — Mountain View, CA