Design Engineer

Job Title

Design Engineer

Role Summary

The Design Engineer provides technical ownership and operational support for EDA tools, CAD environments, materials simulation infrastructure, dashboard platforms, LSF compute clusters, and revision-control systems to enable semiconductor design productivity.

Works on-site with design and IT teams to maintain availability, automate workflows, troubleshoot complex issues, and deliver engineering dashboards and AI-enabled support tools.

Experience Level

Senior — requires 10+ years of experience in EDA tool support, CAD environment management, or a similar role in the semiconductor industry.

Responsibilities

Primary responsibilities focus on maintaining and improving design infrastructure and supporting design engineers.

• Install, configure, and maintain EDA tools (e.g., Cadence, Synopsys, Ansys, Mentor Graphics).
• Develop, manage, and optimize CAD environments for high availability and performance.
• Operate and maintain LSF simulation cluster; tune resource allocation and scheduling.
• Manage revision control systems (Git, SVN) and support version-control workflows.
• Build and maintain engineering dashboards for project status, license usage, cluster utilization, and operational metrics.
• Develop automation, scripts, and data pipelines to streamline operational tasks and integrate data sources.
• Support adoption of AI-enabled tools and automation to improve EDA support and productivity.
• Troubleshoot EDA, CAD, cluster, and revision-control incidents to minimize downtime.
• Create and maintain documentation and provide training to engineering teams.
• Coordinate with IT on network, storage, and system security for design environments.

Requirements

Core technical skills and experience required; preferred skills listed separately.

Must-have:

• 10+ years supporting EDA tools and CAD environments in the semiconductor or electronics design industry.
• Hands-on experience with Linux/Unix environments and LSF cluster administration.
• Proficiency with revision control systems (Git, SVN) and version-control best practices.
• Scripting and automation experience (Python, Shell, Perl or similar) and building data pipelines.
• Experience developing or maintaining dashboards and database-driven reporting; API integration experience.
• Strong troubleshooting, analytical, and communication skills; able to work with cross-functional teams.
• Willingness to travel up to ~10% as required.

Nice-to-have:

• Experience with materials modeling and simulation infrastructure or engineering analytics platforms.
• Familiarity with AI/ML-enabled automation, agents for knowledge retrieval, or license-monitoring tools.
• Experience with IT networking and storage solutions.

Education Requirements

Bachelor's degree in Electrical Engineering, Computer Science, Information Technology, or a related field.

About the Company

Company: Applied Materials

Headquarters: Santa Clara, CA, United States

Global leader in materials engineering solutions for the semiconductor and display industries, designing, manufacturing, and servicing equipment used to produce chips and advanced displays worldwide. Enables customers' production of semiconductor devices and display technologies and supports innovations like AI and IoT.