Job Title
Lead/Principal DFT Engineer
Role Summary
The Lead/Principal DFT Engineer will define and own the design-for-test (DFT) architecture and strategy for a large AI accelerator SoC. This role leads DFT methodology, tool integration, test signoff, and cross-functional execution with RTL, physical design, test engineering, and product teams.
Responsibilities include setting hierarchical scan/compression/ATPG approaches, memory test/repair strategy, production bring-up support, and mentoring DFT engineers. The role may require export-control eligibility checks.
Experience Level
Senior β typically 10+ years of professional DFT experience with proven ownership of DFT architecture on at least one large tapeout.
Responsibilities
Primary responsibilities include:
- Own and define DFT architecture for a large AI accelerator SoC, including scan, compression, MBIST/LBIST, and boundary scan.
- Set DFT strategy, methodology, flow and signoff criteria.
- Drive integration of DFT tools and flows into the EDA environment.
- Define hierarchical DFT approach for multi-core designs and large memory systems.
- Specify scan architecture, compression strategy, and ATPG approach.
- Define memory test and repair strategy for large embedded RAM.
- Establish power-aware and at-speed test strategies.
- Collaborate with RTL, physical design, and test/product teams for clean integration, timing closure, silicon bring-up, ATPG debug on ATE, and yield ramp support.
- Mentor and guide DFT engineers and provide technical leadership.
Requirements
Must-have qualifications:
- 10+ years of hands-on DFT experience for complex ASIC/SoC designs.
- Proven ownership of DFT architecture on at least one large tapeout.
- Deep expertise in scan, compression, ATPG, and MBIST.
- Experience with industry DFT tools (e.g., Synopsys or Mentor/Tessent).
- Strong understanding of clocking, resets, power domains, and physical constraints.
- Experience with silicon bring-up, ATPG pattern debug on ATE, production test, and yield ramp.
- Ability to lead ambiguous, high-impact problems while balancing architecture and hands-on execution.
Nice-to-have:
- Experience with AI accelerator SoCs, large multi-core designs, or large on-chip memory subsystems.
Education Requirements
Not specified.
About the Company
Company: Fractile
Headquarters: London, UK
Fractile is on a mission to revolutionize AI by developing silicon, systems, and software that enable the fastest execution of advanced models at lower costs. Established in 2022, the company has rapidly expanded, fostering a collaborative culture in its London and Bristol offices. With a focus on innovation in ML/AI IC product development, Fractile combines hardware and software to deliver high-impact solutions for data center applications.

Date Posted: 2026-07-22