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netPolarity, Inc. (Saicon Consultants, Inc.) • Austin, Texas, United States
Role & seniority: ASIC IP Verification Infrastructure Engineer (Contractor), mid-to-senior level
Location & work type: Austin, TX; 12-month contract; W2; onsite preferred but remote Options unclear
Stack/tools: Git, Perforce (P4); Synopsys VCS/Verdi; GNU Make; Jenkins/GitLab CI; Python, Perl, Shell; LSF/Slurm; JIRA/Confluence; PowerBI; large-scale compute/storage
Maintain and optimize automation frameworks powering the design verification flow
Streamline build flows and manage massive compute/storage resources; develop CI/CD pipelines
Collaborate with global Infrastructure (India) and US/Canada verification teams; modernize environment with AI-assisted tools
Ability to work autonomously
Version control and repository management (Git, Perforce)
Deep understanding of ASIC EDA tools/workflows (Synopsys VCS/Verdi)
Infrastructure/build automation (GNU Make, similar tools)
CI/CD implementation for hardware verification (Jenkins, GitLab CI)
Scripting in Python, Perl, Shell
Compute/Storage management (LSF/Slurm; high-performance storage)
Project/Data tools (JIRA, Confluence; PowerBI)
Web development (HTML) for internal tools/dashboards
AI-assisted development tools (e.g., AI coding agents)
AI/ML workflows for log triage or predictive regression
Ruby scripting; basic SQL for data analysis
Title: ASIC IP Verification Infrastructure Engineer (Contractor)
Location: Austin, TX
Duration: 12 Months
Rate: $70-$75/Hour on W2
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
Job Description: ASIC IP Verification Infrastructure Engineer (Contractor)
Role Overview
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 US/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.