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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Infobahn Softworld Inc • Austin, Texas, United States
Salary: $120,000 - $160,000 / year
Role & seniority
Stack / tools
Version control: Git, Perforce (P4)
ASIC EDA & debug: Synopsys VCS, Verdi
Build & automation: GNU Make, CI/CD workflows (Jenkins, GitLab CI)
Infrastructure: Compute/Storage management, job schedulers (LSF, Slurm)
Scripting: Python, Perl, Shell (Bash/TCSH)
Workflow & metrics: JIRA, Confluence, PowerBI
Top 3 responsibilities
Maintain and optimize automation frameworks powering the design verification flow
Streamline build flows and manage massive compute/storage resources
Modernize environment with AI-assisted tools; collaborate with India-based Infra and US/Canada verification teams
Must-have skills
Ability to work autonomously with task ownership under a Technical Lead
Deep Git and Perforce expertise; manage complex repositories and multi-site sync
EDA/Debug proficiency with Synopsys VCS and Verdi
Experience building/maintaining hardware CI/CD pipelines (Jenkins, GitLab CI)
Strong compute/storage management and automation scripting (Python, Perl, Shell)
Nice-to-haves
Web development (HTML) for internal tools/dashboards
AI-assisted development tools (e.g., Cline, Codex, Genie) and AI/ML workflows
Advanced scripting (Ruby) and SQL for data querying
Location & work type
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
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.
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.