# Hardware Engineer, PCB at Normal Computing > Hybrid · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Anormalcomputing%3A341176b4-01da-48e7-b055-04b518368272 (read 2026-11-06). ## Facts (observed) - Company: [Normal Computing](https://alderhq.app/companies/normal-computing) - Location text: New York; London; Mountain View - Where it can be done from (inferred): Hybrid · United States (evidence: "Location: New York; London; Mountain View") - Posted: 2026-07-29 (100 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 1 times - Apply on the employer's site: https://jobs.ashbyhq.com/normalcomputing/341176b4-01da-48e7-b055-04b518368272 - Skills listed (inferred): Python, LLMs ## Pay and sponsorship - Posted pay: $200k–$400k per year (from the listing's pay field) - Market band for similar posted roles (New York, n 611): p25 $145k, median $180k, p75 $225k - H-1B filings at this company for similar roles, FY26: 1 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) ## Description (the employer's text) ### 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 Hybrid: 3 days a week in the office, in Mountain View, New York or London. Normal Computing is redefining computing for the next 20 years by optimizing LLM and Diffusion inference by 100–1000x through combining thermodynamic computing and CIM technology. You will own the end-to-end development of our CIM substrate from architecture and schematic design to layout, tapeout, custom PCB development, and post-silicon bring-up. ### What You Will Own End-to-end PCB design flow: lead the full PCB development cycle including research, design, and evaluation of custom chips Silicon bring-up: lead post-silicon correlation and validation efforts including root-cause analysis and general debug PCB bring-up: ensure the PCB you designed and manufactured is fully functional as intended Cross-functional collaboration: work alongside analog, digital, and ML engineers to further improve system-level PPA. ### What Makes You a Great Fit Owned multiple PCBs end-to-end through design, simulation, fabrication and bringup Familiar with common PCB tools, including Altium, Allegro, OrCAD, Xpedition Built PCBs for expansion formats like PCIe, and including components like FPGAs, high-speed memories, flash memories, and various connectors like 100G ethernet ### Bonus Points Lead, fabricated, brought up custom PCBs to evaluate custom CIM chips Experienced and comfortable in a lab bench environment including soldering with a microscope Have used scripting languages (i.e. Python, Perl) to automate design flows and data post-processing 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Anormalcomputing%3A341176b4-01da-48e7-b055-04b518368272 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.