Job Description:
We are seeking an experienced AI Chip DFT (Design for Test) Engineer to join our team. This role involves the design and implementation of test architectures for AI chip designs, ensuring efficient and reliable testing processes. The ideal candidate will be responsible for integrating DFT circuits, performing simulations, developing test vectors, and supporting yield improvement and fault analysis.
Key Responsibilities:
- DFT Architecture Design: Lead the design of DFT architecture at the chip level, implementing testing circuits such as Scan, Mbit, Memory repair, and Bscan.
- DFT Circuit Design and Insertion: Implement DFT circuits and integrate them into the chip, ensuring proper timing constraints for DFT mode convergence.
- Functional Verification: Perform functional verification, pre-simulation, post-simulation, and power simulation of DFT circuits. Troubleshoot and resolve any issues encountered during testing.
- Test Vector Development: Develop high-coverage, low-cost test vectors and validate them through simulation and timing analysis.
- Yield Improvement and Fault Analysis: Contribute to yield improvement efforts and fault analysis. Assist with testing SDC (Synopsys Design Constraints) constraint files in testing modes and help with timing and power convergence in the backend.
Qualifications:
- Educational Background: Bachelor’s degree in Electronics Engineering, Computer Science, or a related field. Advanced degrees (Master’s or Ph.D.) are a plus.
- Professional Experience: Minimum of 5-7 years of experience in DFT, with expertise in chip-level DFT architecture design, circuit insertion, and testing.
- Technical Skills:
- Proficiency in DFT methodologies, including Scan, Mbit, Memory repair, and Bscan.
- Strong experience with functional verification and simulations (pre/post, power simulation).
- Ability to develop efficient test vectors and perform timing and simulation analysis.
- Familiarity with yield improvement and fault analysis processes.
- Tools & Scripting: Experience with DFT tools and scripting languages (e.g., TCL, Perl, Python).
Soft Skills: Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with cross-functional teams.