JV
CAD Engineer
Accepting applicationsJobs via Dice · San Jose, CA
Full-Time Mid_senior AIASICCadenceMentorPerl
Posted
30 Apr
Category
Eda
Experience
Mid_senior
Country
United States
Job Description
Onsite in San Jose, CA
Description:
Required Qualifications
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
________________________________________
Preferred Qualifications
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.)
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Onsite in San Jose, CA
Description:
Required Qualifications
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
________________________________________
Preferred Qualifications
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.)
Show more Show less