Hardware Engineer, Analog

Normal Computing Corporation; Mountain View (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Normal Computing is an applied AI company building foundational hardware for its unconventional computing architecture in Mountain View. As an Analog Hardware Engineer, you will design and bring up mixed-signal circuits, create library cells and macros, and collaborate with silicon teams to enable high throughput-per-watt.

You will own end-to-end analog development from schematic design through parasitic extraction and silicon bring-up, evaluating memory designs and developing IP for Normal

Qualifications

• Developed analog IP from spec to GDSII and brought up.
• Experience with SRAM/DRAM core and peripheral circuits.
• Proficient in Cadence flow for analog design and characterization.

Responsibilities

• Lead full analog development cycle from schematic design to parasitic extraction and silicon bring-up.
• Develop or acquire analog IP for Normal Silicon.
• Direct analog EDA tool development and optimization.
• Evaluate memory designs (SRAM, DRAM, CIM).

Skills

Analog IP

Memory tech

Custom bitcells

Cadence flow

Noise analysis

Tools

Cadence Virtuoso

Spectre

Assembler

Extraction

Layout

HSMC

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 Analog Hardware Engineer, you will build the core mixed-signal technology powering our unconventional computing architecture.

You will design unique analog circuits, creating library cells as well as macros, to support a unique computational architecture. Working alongside silicon architecture, digital, and layout teams, you will own the end-to-end analog development from clean-sheet circuit design through parasitic extraction and silicon bring-up to unlock unprecedented throughput-per-watt.

What You Will Own

• Analog design flow methodology: lead the full analog development cycle including research, exploratory design
• Develop or acquire analog IP for use in Normal Silicon
• Acquire or help direct analog EDA tool development
• Evaluation of memory designs, including SRAM, DRAM, and CIM architectures

What Makes You a Great Fit

• Developed analog IP from spec to GDSII in modern technologies, taped out and brought up.
• Worked on memory technologies (i.e. SRAM, DRAM) on 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 [e-mail].

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.