DFT Engineer
Efficient ComputerJob Title
DFT Engineer
Role Summary
Work on design-for-test (DFT) implementation and verification for ASIC designs, owning the CAD flow for assigned blocks and top-level integration. Collaborate with CAD, design, and manufacturing teams to define test strategies, implement DFT features, and support hardware bring-up.
Experience Level
Mid-level. Years of experience not specified.
Responsibilities
Key responsibilities include implementing and validating DFT solutions and ensuring test readiness of designs.
- Define and drive DFT requirements to meet customer specifications.
- Pick up, configure, and execute CAD/DFT tools and flows for assigned designs.
- Analyze, debug, and implement DFT features within the defined flow.
- 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 and design teams to fix flow issues and improve features.
- Provide debug support to the manufacturing test team during hardware bring-up.
- Create and maintain specifications and design documentation.
Requirements
Required and preferred skills inferred from the posting.
- Must-have: Practical experience with DFT implementation and debug, including running CAD/DFT tool flows.
- Must-have: Experience simulating and verifying ATE test patterns at IP, block, and top-level netlist.
- Must-have: Ability to define test strategies for mixed-signal designs and produce clear design documentation.
- Must-have: Experience collaborating with CAD, design, and manufacturing teams to resolve issues.
- Nice-to-have: Prior experience supporting hardware bring-up and manufacturing test debug.
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.
