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# Full-Stack Software Engineer - IDE, Web APIs, Infrastructure

- **Company:** Cadence Design Systems, Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $136,500.0 - $253,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Automation of Tests, Computer Programming, Databases, Eclipse (Software), Java Servlet, Python (Programming Language), Software Requirements Analysis, SQL Databases, TypeScript, Web Applications, Backend, Material UI, Information Technology, Virtual Agents, Restful APIs, Web Api
- **Published:** September 2, 2026
- **Apply:** https://cadence.wd1.myworkdayjobs.com/External_Careers/job/SAN-JOSE/Full-Stack-Software-Engineer---IDE---Web-APIs--Infrastructure_R56203

## About the Role

* Master's degree in computer science or a related field + 5 years of related experience, or Bachelor's degree + 7 years of related experience
 * Strong programming skills in Java, JavaScript, TypeScript, and Python
 * Strong problem-solving skills, creativity, and ability to take initiative

## Description

In this role, you will work across the full product life cycle - analyzing user needs; designing and developing UI components, backend systems, database interfaces, and web applications; and automated testing. You will also help shape the next generation of our tooling by integrating Agentic AI methodologies into our products. This is a great opportunity for a versatile engineer who enjoys working close to processor and architecture teams while building tools that developers rely on every day., * Design, develop, and maintain

 + Components of an Eclipse-based IDE product that provides sophisticated functionality for processor designers
 + Web REST API servlets that support remote product functionality connecting to systems and databases
 + Web applications supporting both customers and internal infrastructure
 * Analyze user needs and software requirements to determine the feasibility of designs within time and cost constraints.
 * Modify existing software to correct errors, adapt it to new hardware, upgrade interfaces, and improve performance.
 * Evolve SQL and other databases to support future functionality
 * Engineer tests and integrate features into new releases; support application teams during test phases.
 * Incorporate Agentic AI workflows into product features and design.
 * Collaborate with hardware, architecture, IDE and support teams to enable and deliver new features.


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