Configuration Management Engineer II

Job Title

Configuration Management Engineer II

Role Summary

Join the HSV Software team in the SVG group to develop, deploy, and maintain AI-enabled tools, environments, and workflows that increase engineering productivity for Palladium emulation and Protium prototyping platforms. The role focuses on integrating LLM/agent capabilities into engineering workflows, automation, and knowledge discovery while ensuring reliability and measurable value.

Experience Level

Mid-level. The role expects around 2+ years of software development experience.

Responsibilities

Key responsibilities include designing and operating AI-enabled engineering tools and ensuring they integrate with existing infrastructure and workflows.

• Develop, deploy, and maintain AI-enabled tools, environments, and workflows for HSV engineering teams.
• Build internal utilities, automation scripts, and services to expose AI capabilities for day-to-day engineering tasks.
• Integrate AI solutions with development environments, source repositories, internal knowledge stores, and enterprise platforms.
• Support evaluation systems: benchmarks, test datasets, quality metrics, regression checks, and reporting.
• Work with engineering users to gather requirements, troubleshoot issues, and improve usability and adoption.
• Apply LLM and agent techniques to enable assisted workflows (knowledge retrieval, task automation, tool calling, orchestration).
• Implement guardrails, monitoring, access controls, and human-review processes for AI-assisted workflows.

Requirements

Must-have technical skills and experience, followed by useful but optional qualifications.

• 2+ years of software development experience.
• Advanced proficiency in Python.
• Experience building internal tools, automation, services, or engineering productivity solutions.
• Understanding of LLM concepts, AI agents, prompt engineering, tool calling, and RAG-based workflows.
• Familiarity with Unix/Linux environments and common development tools.
• Ability to troubleshoot technical issues and support engineering users.
• Very good spoken and written English.

Nice-to-have:

• Experience integrating AI tools with CI/CD systems, enterprise platforms, or access-control systems.
• Familiarity with AI evaluation, benchmarking, and model-quality metrics.
• Knowledge of vector databases, embeddings, or AI-based knowledge retrieval systems.
• Familiarity with orchestration/agent frameworks (e.g., LangChain, CrewAI, LangGraph, AutoGen).
• Experience with additional languages such as C++ or TCL.
• Domain knowledge in EDA, VLSI design, design verification, emulation, or prototyping workflows (Palladium/Protium).

Education Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; or equivalent practical experience.

About the Company

Company: Cadence Design Systems

Headquarters: San Jose, California, USA

Cadence Design Systems is a global electronic design automation company that provides software, hardware, and intellectual property for designing advanced semiconductor chips. With over 25 years in the industry, Cadence is known for its innovative technology solutions and has been recognized by Fortune Magazine as one of the 100 Best Companies to Work For. The company is dedicated to solving complex technical challenges in order to enable customers to create revolutionary products and experiences.