ASIC IP Verification Infrastructure Engineer
United States
Full-time
3 days ago
$80 - $85 USD
H1B Sponsor Likely
Key skills
PythonRubySQLPerlShellBashAIJenkinsGitLab CIGitGitLabRepositoryJiraConfluence
About this role
Infotree Global Solutions is seeking an ASIC IP Verification Infrastructure Engineer to maintain and optimize critical automation frameworks for design verification. This role involves working independently to streamline build flows and manage compute/storage resources while collaborating with teams in the US and India.
Responsibilities:
- Maintain and optimize the critical automation frameworks that power our design verification flow
- Streamline build flows, manage massive compute/storage resources, and modernize our environment with AI-assisted tools
- Collaborate with the core Infrastructure team in India while providing dedicated support to the US/Canada verification teams
Requirements:
- Proven ability to work independently and take ownership of tasks under the strategic guidance of a Technical Lead
- Deep understanding of Git and Perforce (P4). Expertise in managing complex repository structures, branching strategies, and syncing large IP blocks across multi-site environments
- Extensive experience with Synopsys VCS and Verdi for logic simulation and waveform analysis
- Strong background in developing and maintaining hardware build flows using GNU Make or similar automation tools
- Proven experience implementing hardware-specific Jenkins or GitLab CI pipelines for automated regression and linting
- Highly proficient in Python, Perl, and Shell (Bash/TCSH) for environment setup and data processing
- Practical experience managing job schedulers (e.g., LSF, Slurm) and optimizing high-performance storage/disk space for large simulation environments
- Proficiency in JIRA and Confluence for workflow management and PowerBI for tracking verification metrics and regression health
- Proficiency in HTML and web-based development for creating internal tools, report viewers, or status dashboards
- Familiarity with AI coding agents and productivity tools such as Cline, Codex, or Genie to accelerate workflow development
- Interest or experience in implementing AI-driven log triaging, predictive regression analysis, or automated code generation
- Experience with Ruby scripting for legacy or specialized infrastructure support
- Basic understanding of SQL for querying and managing historical regression data