Design Engineer
Applied Materials
- Location
- Santa ClaraCA
- Work model
- On-Site
- Level
- Mid
- Salary
- $156k – $214.5k/yr
- H-1B history
- 125 approvals (FY2023)
- Posted
- 21h ago
Skills
About this role
Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer
Salary: $156,000.00 - $214,500.00 Location: Home / Mobile,AZ-001, Santa Clara,CA You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . We are seeking a highly skilled and motivated EDA CAD/IT Support Engineer to join our dynamic design team as a full-time team member. The successful candidate will provide technical support and operational ownership for EDA tools, CAD environments, materials infrastructure, dashboard platforms, AI-enabled automation, LSF simulation clusters, and revision control systems. This role requires a strong understanding of semiconductor design infrastructure, EDA workflows, Linux-based environments, data-driven dashboard development, and the ability to troubleshoot complex technical issues while improving engineering productivity.
Key Responsibilities
EDA Tool Support: Provide comprehensive support for EDA tools (e.g., Ansys, Cadence, Synopsys, Mentor Graphics), including installation, configuration, and maintenance. CAD Environment Management: Develop, manage, and optimize CAD environments to meet the needs of the design team, ensuring high availability and performance. Dashboard Development and Support: Develop, maintain, and enhance engineering dashboards that provide visibility into project status, EDA license usage, cluster utilization, infrastructure health, issue tracking, and operational metrics for leadership and engineering teams. AI Enablement and Automation: Support the development and adoption of AI-enabled tools, agents, and automation workflows that improve EDA support, knowledge retrieval, license monitoring, operational triage, and productivity across semiconductor design teams. Materials Infrastructure Support: Provide technical support for materials modeling and simulation infrastructure, including tools, compute environments, data access, workflow support, and coordination with engineering users working on materials and semiconductor technology initiatives. LSF Cluster Maintenance: Oversee the operation and maintenance of the LSF simulation cluster, ensuring optimal resource allocation and job scheduling efficiency. Revision Control System Management: Manage and maintain revision control systems (e.g., Git, SVN), ensuring version control best practices are followed and supporting the design team in code management. Troubleshooting: Diagnose and resolve technical issues related to EDA tools, CAD environments, LSF clusters, and revision control systems promptly, minimizing downtime and ensuring design productivity. Automation and Scripting: Develop and maintain scripts, services, and data pipelines to automate routine operational tasks, integrate enterprise data sources, improve dashboard reliability, and streamline design infrastructure workflows.