DFT Engineer
Efficient ComputerJob Title
DFT Engineer
Role Summary
Implement and validate Design-for-Test (DFT) solutions for ASIC designs, ensuring they meet customer specifications and manufacturing test requirements. Work with CAD, verification, and manufacturing teams to define test strategy and drive issue resolution across the design flow.
Experience Level
Mid-level. Years of experience not specified.
Responsibilities
Primary responsibilities include:
- Translate customer specifications into DFT requirements and solutions.
- Pick up, run, and maintain CAD tools and DFT flows for assigned designs.
- Analyze, debug, and implement DFT features using defined tools and flows.
- Simulate and verify ATE test suites at IP, block, and top-level netlist.
- Define and implement test strategy for complex mixed-signal circuits.
- Collaborate with global CAD teams on flow fixes and feature improvements.
- Interlock with the design team to drive solutions and resolve problems.
- Provide debug and support to the manufacturing test team during hardware bring-up.
- Develop specifications and design documentation.
Requirements
Must-have skills and experience:
- Proven experience implementing and debugging DFT features.
- Hands-on experience with CAD tools and established DFT flows.
- Experience with simulation/verification of ATE test suites.
- Ability to define test strategies for mixed-signal designs.
- Experience collaborating with global CAD and design teams.
- Experience supporting manufacturing test and hardware bring-up.
Nice-to-have:
- Experience with top-level netlist verification and complex mixed-signal IP.
- Experience producing formal specifications and design documentation.
Education Requirements
Not specified.
About the Company
Company: Efficient Computer
Headquarters: Austin, TX, USA
Developer of ultra-low-power general-purpose processors using patented technology that can consume up to 100x less energy than comparable ultra-low-power processors. Their programmable platform supports standard high-level languages and AI/ML frameworks to enable long-lived, battery-powered edge devices and energy-efficient SoCs for IoT and edge AI applications.
