This listing does not state pay. Across 1,073 open senior software engineer listings that state pay, the middle half runs $170,000 to $222,500 and the median is $200,000.

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How AI is used in this kind of work

Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Advantest has filed one layoff notice in the last twelve months, covering 55 workers, most recently May 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

Advantest is seeking a Software Engineer to join the US AI and Automation Team. In this role, you will help design, develop, and deploy software solutions that integrate AI capabilities into both internal engineering workflows and customer-facing products.

You will work closely with software engineers, AI specialists, product teams, semiconductor test experts, and customers to create scalable, maintainable, and production-ready solutions. The ideal candidate brings strong software architecture expertise, modern software development practices, and the ability to lead technical initiatives from concept through deployment.

This position focuses first on software engineering excellence and architecture, with opportunities to apply emerging AI technologies to solve complex engineering challenges.

Key Responsibilities

Design and architect scalable software systems supporting internal and customer-facing applications.

Lead technical design decisions, architecture reviews, and software development best practices.

Develop and maintain modern applications, services, APIs, and integration frameworks.

Collaborate with global engineering teams to define technical roadmaps and solution architectures.

Design and implement integrations between enterprise systems, engineering platforms, cloud services, and AI-enabled applications.

Utilize GitHub-based workflows including source control, code reviews, issue management, and release processes.

Evaluate new technologies and development tools to improve engineering productivity and software quality.

Mentor software engineers and provide technical leadership across projects.

Support customer engagements, technical workshops, proof-of-concepts, and deployment activities where appropriate.

Contribute to AI-enabled engineering solutions including automation, knowledge systems, software copilots, and intelligent workflows.