Staff Analog Design Engineer (AI)

TL;DR

Staff Analog Design Engineer (AI): Developing differentiated die-to-die chiplet PHY IP solutions including PLLs for cutting-edge AI platforms with an accent on deep sub-micron FinFET technologies. Focus on managing the full lifecycle from design and verification to tape-out and silicon bring-up.

Location: Remote (must be located in the U.S.)

Compensation: $100k - $500k

Company

hirify.global is leading the industry in cutting-edge AI technology, focusing on unifying software models, compilers, platforms, and semiconductors.

What you will do

• Develop die-to-die chiplet PHY IP, including PLLs and key analog/mixed-signal blocks.
• Own the full design lifecycle: design, verification, layout interaction, tape-out, and silicon bring-up.
• Collaborate cross-functionally with architecture, digital, verification, and software teams to optimize AMS IP.
• Push the limits of die-to-die chiplet PHY IP in advanced FinFET nodes for high-volume production.
• Co-optimize analog, digital, and layout to achieve aggressive performance, power, and area targets.

Requirements

• BSEE/MSEE/PhD with 10+ years of analog/mixed-signal IC design experience.
• Expertise in PLL and AMS design using FinFET processes.
• Proficiency with industry-standard EDA tools and a strong grasp of layout-driven constraints.
• Proven track record of circuit/SoC tape-outs and successful silicon bring-up.
• Background in high-speed datacomm, SerDes, and die-to-die PHY design.
• Must be eligible to access U.S. export-controlled technology (EAR compliance).

Nice to have

• Experience with bias generators, amplifiers, LDOs, switched-cap circuits, oscillators, ADCs, and DACs.
• Experience with DDR/PCIe/USB PHY components.
• Familiarity with high-speed digital (serializer/deserializer, dividers) and Tx/Rx equalization (de-emphasis, CTLE, DFE).

Culture & Benefits

• Highly competitive compensation package and benefits.
• Collaborative and curious team culture focused on solving hard technical problems.
• Opportunity to work on revolutionary AI computing paradigms from the ground up.
• Remote-first flexibility within the United States.