Product Development/DFX Lead - Neuromorphic Computing

Location: Hybrid role based at an hirify.global site in the United States, with primary location in Hillsboro, Oregon and additional locations in Phoenix, Arizona; Folsom and Santa Clara, California; and Austin, Texas.

Annual salary: $141,910–$269,100 USD, depending on work location, skills, experience, and education.

Company

hirify.global develops semiconductor technologies and neuromorphic computing architectures for physical AI systems.

What you will do

• Architect the complete SoC-level DFT solution for synchronous and asynchronous designs.
• Lead scan-insertion and compression flow development at partition and SoC levels.
• Build scalable frameworks across EDA tools, RTL, and emulation models to generate and validate test vectors before silicon.
• Collaborate with design teams on DFT, DFD, and DFM features that support manufacturing readiness and high-volume production.
• Lead silicon power-on, enable tester content, debug failures, and maintain developed tools and flows.

Requirements

• Bachelor's degree with 6+ years of hands-on DFT experience, or a master's degree with 4+ years of experience, covering architecture through silicon bring-up.
• 6+ years of experience architecting the DFT stack, including scan insertion, compression, and ATPG vector generation.
• 4+ years of direct ownership of IP- and SoC-level scan constructs such as boundary scan, JTAG, TAP, BIST, and MBIST.
• At least 1 year of post-silicon debugging experience and driving circuit changes for testability and reliability improvements.
• Strong SystemVerilog, SystemC, and object-oriented programming experience with pre-silicon verification.
• Ability to work in a hybrid model at an assigned hirify.global site in the United States.

Nice to have

• Experience with custom ASICs or AI/ML accelerator design.
• Experience with post-silicon bin split, die-level cherry picking, and fault grading.
• Experience reducing test time on automatic test equipment.
• Experience with asynchronous architectures and circuits.
• At least 1 year of experience using AI tools to set up tool flows, debug issues, and improve productivity.

Culture & Benefits

• Hybrid work model combining on-site and off-site work.
• Competitive pay with stock bonuses.
• Health, retirement, and vacation benefits.
• Work on neuromorphic computing technologies developed with a global ecosystem of research groups.