Workflow Automation Software Developer

Introduction

A career at Anderon provides the rare opportunity to help define a new industry. We’re a wafer foundry that’s commercializing semiconductor manufacturing for quantum chips. You’ll partner with innovative clients and leading researchers to develop the technology needed to build the coming quantum economy.

*Please note: Anderon uses IBM's recruitment platform for candidate applications and hiring workflows. While this role is with Anderon, all applications will be submitted and processed through IBM's careers system.

Job Summary

We are seeking a highly motivated Workflow Automation Software Developer to join the Anderon's Foundry Enablement Team. This role is critical to scaling Anderon’s tapeout operations as the number of technologies, testsites, and mask deliveries continues to grow.

The successful candidate will design, build, deploy, and maintain Python-based automation solutions, web applications, AI-enabled workflows, and scalable data systems supporting tapeout, testsite, mask-release, and engineering operations. The role will also contribute to developing a trusted and scalable source of truth for technology, testsite, mask, and execution data.

This position requires a self-starter who thrives in an agile, startup-style environment. The candidate must be comfortable identifying opportunities, proposing solutions, independently developing and deploying ideas, and collaborating with engineering and operations teams to deliver reliable software that solves real execution challenges.

Key Responsibilities

• Software Development: Design, develop, test, deploy, and maintain Python-based applications and services supporting semiconductor engineering and tapeout operations.

• Workflow Automation: Identify manual, repetitive, and error-prone activities across tapeout, testsite, mask release, and engineering execution workflows, then develop automation that improves efficiency, quality, and scalability.

• Web Application Development: Build intuitive web-based tools, dashboards, and workflow applications that enable engineering teams to access data, manage execution, and monitor progress.

• AI and Intelligent Automation: Develop AI-assisted and agentic workflows supporting data collection, task orchestration, engineering decision support, document generation, and execution monitoring.

• Data and Systems Architecture: Develop and maintain scalable databases and data models for technology, testsite, reticle, mask, schedule, and execution information.

• Application Integration: Develop APIs and integrations connecting applications with databases, engineering tools, AI services, and enterprise platforms.

• End-to-End Ownership: Take software solutions from initial concept and requirements through implementation, testing, deployment, documentation, user adoption, and ongoing support.

• Agile Delivery: Work iteratively, prioritize high-value use cases, rapidly prototype ideas, incorporate user feedback, and continuously improve deployed solutions.

• Cross-Functional Collaboration: Partner with semiconductor technology, design enablement, tapeout, mask release, and operations teams to translate complex engineering needs into practical software solutions.

• Software Quality: Apply version control, code review, automated testing, CI/CD, documentation, security, and maintainability practices appropriate for production software.

Your role and responsibilities

As a Software Developer specializing in Automation, you will design and build systems and tools that automate repetitive tasks and processes to increase efficiency and accuracy. You will develop innovative solutions that cater to business requirements, focusing on end-to-end product experiences.

Your primary responsibilities will include:

• Design Automation Solutions: Create automated solutions based on business requirements, ensuring seamless integration with existing systems and processes. This involves analyzing business needs, identifying areas for automation, and developing tailored solutions.

• Develop Scripts and Frameworks: Develop scripts, programs, and frameworks for automating software development, testing, and deployment. This includes writing clean, efficient code and collaborating with cross-functional teams to ensure effective implementation.

• Improve Automation Strategies: Continuously evaluate and improve automation strategies, identifying opportunities for growth and optimization. This involves monitoring performance metrics, gathering feedback, and implementing changes to enhance overall efficiency.

• Deliver End-to-End Solutions: Focus on delivering end-to-end product experiences, ensuring that automation solutions meet business outcomes and technical requirements. This involves collaborating with stakeholders to understand business needs and developing solutions that cater to those needs.

Required technical and professional expertise

Minimum Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Data Science, or a related technical discipline.

• Three or more years of professional software development or engineering automation experience.

• Three or more years of Python development experience, including the design and maintenance of reusable, production-quality software.

• Experience developing web applications, APIs, or backend services using frameworks such as FastAPI, Flask, or Django.

• Experience using Git and collaborative software development practices such as branching, pull requests, code review, and release management.

Preferred technical and professional experience

• Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electrical Engineering, or a related field.

• Five or more years of experience developing software applications, engineering automation platforms, workflow systems, or data-driven tools.

• Experience working in the semiconductor industry, particularly in semiconductor technology development, design enablement, testsite execution, tapeout, reticle management, or mask-release operations.

• Understanding of semiconductor development data and workflows, including technologies, process design kits, testsites, design releases, tapeouts, reticles, masks, and engineering execution milestones.

• Experience creating AI-enabled applications, agentic workflows, or intelligent automation using platforms and frameworks such as Claude, Azure OpenAI, Semantic Kernel, AutoGen, LangChain, or similar technologies.

• Experience designing and implementing CI/CD pipelines using tools such as GitHub Actions, GitLab CI/CD, Azure DevOps, or Jenkins.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.