CAI Req ID:268

What You Can Expect

We are looking for a Senior Staff DFT Engineer with hands-on experience in scan-based DFT implementation, including Scan Streaming Network (SSN) and IJTAG (IEEE 1687). This role focuses on end-to-end scan execution, from insertion and verification through DRC closure, coverage improvement, and final DFT signoff. The ideal candidate will own scan quality, coverage closure, and DFT signoff for complex SoC designs.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Lead hands-on scan DFT implementation, including:
  • Scan insertion and stitching
  • Scan Streaming Network (SSN) implementation
  • IJTAG (IEEE 1687) insertion and connectivity
• Perform scan DFT verification, debug, and DFT DRC closure
• Debug and resolve scan-related DRCs, connectivity issues, and control signal problems
• Run, analyze, and debug SpyGlass DFT/RTL checks, partnering with design teams to resolve violations
• Generate, simulate, and debug ATPG scan patterns
• Analyze ATPG results and drive scan coverage improvement and closure
• Develop and validate DFT-related timing constraints (scan, shift, capture, and test modes)
• Create and maintain TCL scripts for scan insertion, ATPG setup, and coverage analysis
• Optimize scan implementations for pattern efficiency and test quality
• Support hierarchical scan integration at both block and SoC levels
• Collaborate closely with RTL and Physical Design teams to resolve scan-related issues
• Support pre-silicon DFT signoff and post-silicon pattern bring-up and debug
• Assist with ATE pattern conversion and scan debug activities

What We're Looking For

• Bachelor's degree in Computer Science, Electrical Engineering or
  related fields and 5-10 years of related professional experience OR Master's degree and/or PhD in Computer Science, Electrical Engineering or
  related fields with 3-5 years of experience.
• 8+ years of hands-on experience in DFT scan implementation
• Strong expertise with Siemens Tessent, including:
  • Scan insertion and verification
  • ATPG pattern generation and coverage analysis
  • IJTAG (IEEE 1687) and SSN implementation
• Strong understanding of:
  • Scan Streaming Network (SSN)
  • IEEE 1149.x, IEEE 1500, and IEEE 1687 standards
• Proven ability to resolve scan DFT DRCs and drive coverage closure
• Strong TCL scripting skills for automation and flow customization
• Experience developing and validating scan and test-mode timing constraints
• Full DFT lifecycle experience, from RTL/netlist through silicon debug
• Strong debugging, ownership, and problem-solving skills
• Excellent verbal and written communication skills

PREFERRED QUALIFICATIONS

• Experience with scan compression and advanced scan architectures
• Post-silicon experience, including:
  • Pattern bring-up and debug
  • Silicon characterization and yield learning
• Experience mentoring junior engineers or owning DFT scan signoff

Expected Base Pay Range (USD)
128,000 - 189,370, $ per annum

The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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