Software Engineer (Teradyne, North Reading)

Teradyne•North Reading, MA

19h•$129,600 - $207,400•Onsite

About The Position

As a Software Engineer on Teradyne’s AI team, you will help unlock the power of agentic workflows using Teradyne’s automated test software tools. This role focuses on designing a durable, well-architected software enablement layer that allows engineering teams to build consistent, reusable, and scalable solutions. You will partner closely with AI/ML engineers and global cross-functional teams to deliver enterprise-grade software that advances Teradyne’s innovation strategy.

Requirements

Bachelor’s degree in Computer Science or a related field, or equivalent professional experience; graduate degree preferred.
5+ years of professional software development experience building production-quality systems.
Strong C# skills and a solid command of modern software design and architecture.
Proficiency in Python for real-world application development.
Working understanding of Generative AI and Agentic AI concepts, including the Model Context Protocol.
Proven experience designing and building well-structured interfaces, APIs, or SDKs that other engineers build on.
Strong software engineering fundamentals, including clean code, automated testing, version control, and code reviews.
Experience with cloud platforms and Windows-based development environments.
Demonstrated use of AI-powered tools to accelerate software development.
Excellent communication skills with the ability to work independently and collaborate effectively as part of a global team.

Responsibilities

Lead the design, development, and maintenance of the core software platform and libraries that enable agentic workflows with Teradyne’s tool suite.
Develop clean, well-documented interfaces, APIs, and software development kits that expose Teradyne’s tools in a consistent, reusable way.
Ensure strong software engineering practices, including sound architecture, clean code, automated testing, code reviews, and clear documentation.
Partner with AI/ML engineers to ensure the enablement layer supports Agentic AI use cases without owning the model or workflow internals.
Collaborate with global teams, including program management, QA, security, and UX, to deliver scalable, enterprise-grade software.
Support brainstorming, product-shaping, process improvement, and team culture initiatives with creative technical input.