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Duration: 6 months contract
Location: San Jose, CA (Onsite, 5 days/week)
Description
Duration: 6 months contract
Location: San Jose, CA (Onsite, 5 days/week)
Description
- Develop, maintain, and enhance EDA/CAD flows for ASIC design (RTL GDSII lifecycle exposure preferred)
- Build automated flow checks for design validation, quality metrics, and regression monitoring
- Create interactive dashboards and reporting tools to track design progress, QoR (Quality of Results), and key KPIs
- Leverage AI/LLM-based tools to accelerate script development, debug flows, and generate insights from design data
- Collaborate with design teams (RTL, PD, DV, DFT, STA) to identify gaps and implement automation solutions
- Integrate tools and workflows across environments (Linux-based EDA setups, compute clusters, etc.)
- Analyze large datasets from design runs and provide actionable insights
- Improve productivity by automating repetitive engineering tasks and optimizing workflows
- Ensure robustness, scalability, and maintainability of developed solutions
- 5 years of experience in CAD/EDA development or related engineering roles
- Strong programming skills in Python (mandatory) and scripting languages such as TCL, Bash, or Perl
- Basic understanding of ASIC design flow (RTL, synthesis, place & route, STA, verification concepts)
- Experience with Linux/Unix environments and job scheduling systems
- Hands-on experience building automation frameworks, validation checks, or internal tools
- Familiarity with data visualization tools (e.g., dashboards using Python, web frameworks, or BI tools)
- Strong problem-solving skills and ability to work in a fast-paced environment
- Experience with EDA tools (e.g., Synopsys, Cadence, Siemens/Mentor toolchains)
- Exposure to design data formats (logs, reports, timing/power data, etc.)
- Experience with AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, internal LLMs) and prompt engineering
- Knowledge of data engineering concepts (data pipelines, parsing large datasets, analytics)
- Familiarity with cloud or distributed compute environments
- Experience building web-based dashboards (Flask, Django, React, etc.)