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The job board for developers. Find your next role at companies that value great engineering.

ยฉ 2023-2026 . All rights reserved.

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Custom Memory Design Engineer

Normal Computing Corporation ยท Mountain View; London; New York

Extracted from the posting

Base
$200,000 โ€“ $400,000
Remote
Hybrid, 3 days/week in office: Mountain View, NYC, London
Stack
Cadence Virtuoso, Spectre, Python, Perl

Custom Memory Design Engineer building SRAM and DRAM circuits, including bitcell arrays and peripherals, for Normal's CIM architecture. Owns the RAM design flow from clean-sheet design through tapeout and silicon bring-up, and develops or acquires RAM IP and PDKs. Uses the Cadence flow (Virtuoso, Spectre, Assembler, Extraction).

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.

As a Custom Memory Design Engineer, you will build the custom memories that power our unconventional computing architecture.

You will design unique RAM circuits in various RAM technologies, including SRAMs and DRAMs to support a unique computational architecture. Working alongside silicon architecture, digital design, memory architects, and analog design engineers, you will own the end-to-end development of various RAM circuits, from clean-sheet design through closure and tapeout, and silicon bring-up, unlocking unprecedented throughput-per-watt.


What You Will Own

  • RAM design flow design and methodology: lead the full custom RAM development cycle, from architecture, establishing methodology, tooling, design, to closure
  • Partnership and Acquisition: Develop or acquire RAM IP for use in Normal Silicon, including RAM PDKs
  • EDA tooling: Acquire or help direct RAM design EDA tool development

What Makes You a Great Fit

  • Developed RAM IP from spec to GDSII in modern technologies, taped out and brought up.
  • Worked on memory technologies (i.e. SRAM, DRAM) at the core level (bitcell arrays and peripheral circuits)
  • Designed and characterized custom bitcells in schematic and layout
  • Fluent in the Cadence flow: Virtuoso, Spectre, Assembler, Extraction, Layout, HSMC, Characterization
  • Deep understanding of noise and variation and their impacts on silicon performance and reliability

Bonus Points

  • Lead, taped out, brought up CIM chips
  • Experienced and comfortable in a chip measurement environment for debug and characterization
  • Have used AI and/or 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 Applicant Privacy Notice.

Compensation: $200K - $400K

Technologies

Cadence VirtuosoSpectrePythonPerl
Normal Computing Corporation
Normal Computing Corporation
Website

Job details

TypeFull-time
Work ModeHybrid
LevelMid Level
Location๐Ÿ‡บ๐Ÿ‡ธMountain View, CA๐Ÿ‡บ๐Ÿ‡ธNew York, NY
Salary$200,000 - $400,000
PostedNov 05, 2026
Apply Now