Jobs at Advantest

Design and build AI assistant workflows and tool-using agents that connect to platform APIs, engineering data, documents, and automation. Develop knowledge-ingestion pipelines, evaluation datasets, workflow templates, and integrations enabling agents to call real tools and produce traceable, reviewable outputs. Create tests to ensure correctness, usefulness, and safety.

The Senior Front-End Software Engineer will design and develop high-performance applications using modern technologies, ensuring cross-browser compatibility and collaboration with UX designers, while optimizing web performance and maintaining code quality through CI/CD processes.

As a Senior R&D Engineer, you will support semiconductor customers, providing solutions and training on SiConic technology, conducting installations, and collaborating globally to ensure product functionality and quality.

Support major semiconductor customers with SiConic solutions. Responsibilities include installation, troubleshooting, and customer training, along with evaluation for product improvements.

Lead pre/post-sales consultation and develop test solutions for Advantest's 93000 Semiconductor Test System, ensuring minimal downtime and maximizing productivity in IC manufacturing.

The R&D Engineer will focus on backend development using Java and Python, lead projects, and work with containerization and CI/CD tools.

The Senior Application Engineer provides consultation and technical support for Advantest's 93000 Semiconductor Test System, resolving issues, developing solutions, and delivering training to ensure efficient customer operations.

The R&D Software Engineer will develop software using Java and React.js, focusing on backend and frontend technologies, along with microservices and containerization.

The role involves software engineering focusing on IC test development, requiring proficiency in Java and C++, along with hardware knowledge.

Lead financial reporting and compliance in India, oversee tax management, ensure accuracy of financial statements, and guide team members while ensuring statutory compliance.

The R&D Engineer will provide consultation on semiconductor test systems, resolve testing issues, develop solutions, and coordinate with R&D and customer teams while leading productivity improvement projects.

Build AI-assisted workflows and tool-using agents for semiconductor engineering automation: connect agents to platform APIs and data, create knowledge-ingestion pipelines, design evaluation datasets and tests, develop reusable workflow templates, and integrate agents with real tools producing traceable results.

Build and operate backend APIs and platform services for AI-assisted engineering automation, focusing on long-running workflows, job queues, data/artifact handling, reliability, observability, containerized deployments, and integrations with AI/ML services and automation engines.

Design and implement optimization and planning algorithms for engineering automation. Build constraint-handling logic, benchmarking and visualization tools, define metrics, run applied ML experiments for ranking and learned cost functions, and collaborate with platform, AI, and domain engineers to productionize algorithmic solutions.

The role involves providing pre-sales and post-sales support for semiconductor testing, including project delivery, customer consultation, and technical training.

Design, maintain, and operate automated build and CI/CD pipelines across Linux and Windows. Manage nightly, integration, and release candidate builds, versioning and branching, packaging, and delivery of customer-ready releases. Debug build failures, optimize build infrastructure, and support deployments and issue resolution with R&D, validation, and support teams.

Design and develop features for the SiConic semiconductor validation platform, implement and optimize test execution, DFT integration, and automation. Develop and debug test flows and integrate components, collaborate cross-functionally, troubleshoot software/hardware interfaces, contribute to architecture and prototypes, and support validation tooling and automation frameworks.

Lead a post-sales team to ensure customer satisfaction by providing after-sales support for automated test equipment and identifying solutions to improve production efficiency and hardware debugging.

Lead development of iJTAG (IEEE 1687) based test solutions and DFT methodologies (scan, BIST, hierarchical access). Build AI/ML features for pattern compaction, failure prediction, and root-cause analysis. Develop scalable automation frameworks in Python/C++ and streamline workflows using Tcl/Perl/Shell. Create APIs and pipelines for large-scale ingestion of ATE logs and STIL/WGL patterns, and produce data processing and visualization dashboards.

The Application Manager leads a team supporting Advantest equipment, manages application support activities, and engages with customers on operational matters.