ASIC IP Verification Infrastructure Engineer

Duration- 12 Months Contract Must Have Skills

• Work Autonomously
• Creating and maintaining Version Control & Repository Management
• Understanding for ASIC EDA & Debug tools/workflows
• Creating and maintaining CI/CD workflows
• Managing Compute & Storage

As an ASIC IP Verification Infrastructure Engineer (Contractor), you will maintain and optimize the critical automation frameworks that power our design verification flow. You will work with a high degree of independence under the guidance of a Technical Lead to streamline build flows, manage massive compute/storage resources, and modernize our environment with AI‑assisted tools.

• Autonomy:
  Proven ability to work independently and take ownership of tasks under the strategic guidance of a Technical Lead.
• Version Control & Repository Management:
  Deep understanding of Git and Perforce (P4). Expertise in managing complex repository structures, branching strategies, and syncing large IP blocks across multi‑site environments.
• EDA & Debug:
  Extensive experience with Synopsys VCS and Verdi for logic simulation and waveform analysis.
• Infrastructure & Build:
  Strong background in developing and maintaining hardware build flows using GNU Make or similar automation tools.
• CI/CD:
  Proven experience implementing hardware-specific Jenkins or Git Lab CI pipelines for automated regression and linting.
• Scripting Mastery:
  Highly proficient in Python, Perl, and Shell (Bash/TCSH) for environment setup and data processing.
• Compute & Storage:
  Practical experience managing job schedulers (e.g., LSF, Slurm) and optimizing high‑performance storage/disk space for large simulation environments.
• Project & Data Tools:
  Proficiency in JIRA and Confluence for workflow management and Power
  
  BI for tracking verification metrics and regression health.

• Web Development:
  Proficiency in HTML and web-based development for creating internal tools, report viewers, or status dashboards.
• AI-Assisted Development:
  Familiarity with AI coding agents and productivity tools such as Cline, Codex, or Genie to accelerate workflow development.
• AI/ML Workflows:
  Interest or experience in implementing AI‑driven log triaging, predictive regression analysis, or automated code generation.
• Advanced Scripting:
  Experience with Ruby scripting for legacy or specialized infrastructure support.
• Data Systems:
  Basic understanding of SQL for querying and managing historical regression data.

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