Analog Design Engineer (custom DRAM circuits)

Job Title

Analog Design Engineer (custom DRAM circuits)

Role Summary

The Analog Design Engineer will design mixed-signal and memory-related analog circuits that form the core of Normal Computing's unconventional computing architecture. The role spans clean-sheet circuit design through parasitic extraction, layout, tapeout, and silicon bring-up.

You will work with architecture, digital, and layout teams to develop analog IP, library cells, macros, and measurement plans that meet throughput-per-watt objectives for production silicon.

Experience Level

Mid-level. The posting does not specify explicit years of experience.

Responsibilities

The role requires ownership of analog development end-to-end and close collaboration with cross-functional teams.

• Lead full analog development cycle: research, exploratory design, implementation, and verification.
• Design and deliver analog library cells, macros, and custom bitcells in schematic and layout.
• Perform parasitic extraction, characterization, and support silicon bring-up and debug.
• Develop or acquire analog IP required for Normal silicon products.
• Drive or coordinate analog EDA tool development and automation for design flows.
• Evaluate memory designs, including SRAM, DRAM, and compute-in-memory (CIM) architectures.
• Collaborate with silicon architecture, digital, and layout teams to meet performance, noise, and reliability targets.

Requirements

Must-have technical skills and experience:

• Proven track record developing analog IP from spec to GDSII, with tapeout and silicon bring-up experience.
• Experience with memory technologies (SRAM, DRAM) at core levels, including bitcell arrays and peripheral circuits.
• Designed and characterized custom bitcells in schematic and layout.
• Fluency in Cadence analog flows (Virtuoso, Spectre, Assembler, extraction, layout, HSMC, characterization).
• Deep understanding of noise, variability, and their impacts on silicon performance and reliability.

Nice-to-have:

• Led, taped out, and brought up compute-in-memory (CIM) chips.
• Hands-on experience with chip measurement, debug, and characterization in a lab environment.
• Experience using scripting or AI tools (Python, Perl, etc.) to automate design flows and post-processing.

Education Requirements

Not specified.

Equal Opportunity & Accessibility

Normal Computing is an equal opportunity employer and committed to providing reasonable accommodations. For accommodation requests, the posting lists an accommodations contact.

About the Company

Company: Normal Computing

Headquarters: New York, NY, USA

Normal Computing develops software and hardware solutions for the semiconductor and AI infrastructure industries, specializing in ASICs for image and video diffusion inference and AI accelerators. The company focuses on architecture and microarchitecture of compute blocks, PE array design, ISA co-design, and FPGA prototyping.