[Hiring] Senior CAD Engineer @TYLsemi

Role Description

We are seeking an experienced Senior CAD Engineer to develop, deployment, and support of advanced VLSI CAD methodologies and automation solutions. The role focuses on improving design productivity, quality, and scalability across RTL-to-GDS implementation flows. The ideal candidate will work closely with Physical Design, Frontend, DFT, STA, and EDA vendors to drive robust CAD infrastructure and enable successful tape-outs for complex SOCs.

• Develop and maintain scalable CAD flows for synthesis, physical design, STA, low-power verification, and signoff.
• Drive automation and methodology improvements to enhance design efficiency, runtime, and QoR.
• Collaborate with design, verification, DFT, and implementation teams to understand flow requirements and deployment challenges.
• Debug complex flow, tool, and infrastructure-related issues across project execution.
• Integrate and qualify new EDA tool releases and advanced node methodologies.
• Develop automation scripts, regression environments, dashboards, and flow monitoring infrastructure.
• Work with foundries and EDA vendors on technology enablement and issue resolution.
• Mentor engineers and establish CAD best practices across teams.

Qualifications

• Bachelor’s or Master’s degree in Electronics, Computer Engineering, VLSI, or related field.
• 5+ years of experience in CAD engineering, physical design methodology, or EDA flow development.
• Strong expertise in ASIC/SOC implementation flows including synthesis, P&R, STA, physical verification, and low-power methodologies.
• Hands-on experience with industry-standard EDA tools such as Cadence, Synopsys, and Siemens EDA tool suites.
• Strong programming and scripting skills in Tcl, Python, Perl, and Shell scripting.
• Experience with distributed computing environments, regression frameworks, and infrastructure management.
• Strong debugging, analytical, communication, and stakeholder management skills.

Requirements

• Experience with cloud-enabled EDA infrastructure and workload management systems.
• Exposure to AI/ML-driven CAD optimization methodologies.
• Knowledge of advanced technology nodes (5nm/3nm) and multi-die design flows.

Success in This Role Looks Like

• Delivery of stable, scalable, and high-quality CAD flows adopted across multiple projects.
• Significant improvements in design productivity, QoR, and runtime efficiency.
• Fast resolution of tool and flow issues minimizing project execution risk.
• Strong technical leadership, mentoring, and positive influence on engineering methodology.