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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.
Infotree Global Solutions • Austin, Texas, United States
Role & seniority: Senior individual contributor capable of independent work and task ownership under a Technical Lead.
Version control: Git, Perforce (P4); complex repo management; multi-site syncing
EDA & debug: Synopsys VCS, Verdi
Build & infrastructure: GNU Make, other automation tools
CI/CD: Jenkins, GitLab CI
Scripting: Python, Perl, Shell (Bash/TCSH)
Compute/Storage: job schedulers (LSF, Slurm); large-scale storage optimization
Project/data tools: JIRA, Confluence, PowerBI
Web development: HTML
AI-assisted development: Cline, Codex, Genie
AI/ML workflows: log triage, predictive regression, automated code generation
Advanced scripting: Ruby
Data systems: SQL (basic)
Own hardware build flows and automation, ensuring scalable, reliable processes
Manage complex repository structures and multi-site syncing under Git and Perforce
Design and maintain hardware-focused CI/CD pipelines for automated regression and linting; support verification metrics
Demonstrated autonomy and task ownership
Deep Git and Perforce expertise
Proficiency with Synopsys VCS and Verdi
Experience with GNU Make or equivalent build automation
CI/CD implementation (Jenkins, GitLab CI)
Scripting: Python, Perl, Shell
Scheduling and storage optimization (LSF/Slurm)
JIRA/Confluence for workflow, PowerBI for metrics
HTML basics for internal 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 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.