Verification Infrastructure Engineer

Job Title - Verification Infrastructure Engineer

Location - Austin, TX (on-site)

Role type - 12+ Months (Contract)

Job Description:

As an ASIC IP Verification Infrastructure Engineer (Contractor), you will maintain and optimize the critical automation frameworks that power our design verification flow. Based preferably in Austin, 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. This role is pivotal in bridging our global operations, requiring seamless collaboration with our core Infrastructure team in India while providing dedicated support to the Canada verification teams.

Preferred Qualifications:

• 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 GitLab 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 PowerBI for tracking verification metrics and regression health.

Nice-to-Have (Bonus Skills):

• 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.