CAD Engineer

Job Title

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 tool chains).
• Exposure to design data formats (logs, reports, timing/power data, etc.).
• Experience with AI-assisted coding tools (e.g., Git Hub 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.).