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Hardware Engineer, PCB

Open 28d posting dated 2 weeks ago

Summary

Designs and develops analog and memory-based computing-in-memory (CIM) chips for AI inference acceleration, owning the full flow from architecture to post-silicon validation.

About Normal Computing

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.

We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.

Normal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.

The Role

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 [email protected].

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 Privacy Policy.

What this application asks

ashby

Name, Email, Resume

  • Phone Number optional
  • How did you hear about Normal Computing and why are you interested in exploring opportunities with us? written answer
  • Desired Salary optional
  • State/Country of Residence
  • Our team is based in NYC, SF, Copenhagen and London. If you are located elsewhere, are you willing to relocate? yes / no
  • Are you open to working a hybrid schedule from our office? While we're flexible with in-office days, regular in-person presence is expected. yes / no
  • Are you legally authorized to work in the country in which this job is located? yes / no

See also

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