What are the responsibilities and job description for the Design Verification CAD Engineer position at Saige Partners?
No third parties/C2C/H1visas
Design Verification CAD Engineer (San Jose, CA)
Job Overview:
We are seeking a Digital Verification CAD Engineer to partner closely with verification engineers to enhance and streamline verification methodologies. This role focuses on leveraging AI-driven tools to resolve flow inefficiencies, improve productivity, and introduce advanced automation into the digital verification environment.
This is a W2 contract position and is not eligible for C2C or W2 referral candidates.
Key Responsibilities:
• Collaborate with digital verification engineers to identify and resolve methodology and flow issues
• Develop, integrate, and maintain CAD tools supporting the digital verification flow
• Apply AI/ML techniques to improve verification productivity, debug efficiency, and coverage closure
• Drive adoption of AI-based solutions within existing verification frameworks
• Analyze bottlenecks in simulation, regression, and debug flows, and propose scalable solutions
• Automate repetitive tasks and improve tool usability and performance
• Provide technical support and training to verification teams on new methodologies and tools
Required Qualifications:
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field
• Strong understanding of digital verification flow (e.g., simulation, regression, coverage, debug)
• Experience with SystemVerilog, UVM, or similar verification methodologies
• Proficiency in programming/scripting (Python, Perl, Tcl, or similar)
• Hands-on experience or familiarity with AI/ML tools or frameworks applied to engineering workflows
• Strong problem-solving skills and ability to work cross-functionally
• Experience in EDA AI Platforms: Cadence Verisium
Preferred Qualifications:
• Experience developing CAD or EDA tools for verification environments
• Familiarity with regression management systems and large-scale simulation environments
• Exposure to data analytics, ML model integration, or LLM-based tooling in engineering flows
• Experience with version control systems (e.g., Git) and CI/CD pipelines
Strong communication skills and ability to drive methodology changes
Salary : $90 - $120