Application Engineer - AI Enablement (m / f / d)

Application Engineer - AI Enablement (m / f / d)

Advantest - We enable

tomorrowʻs technology. IoT, 5G and Artificial Intelligence. Unthinkable without us. More than half of all the microchips produced worldwide first pass through our hands. As the global market leader of automated test systems in the semiconductor industry we help the world to realize the digital transformation, enable our customers to shape the future and offer you the exciting jobs intended for pioneers.

Are you seeking answers and opportunities for your future? At our site in Munich you will find both as

Your Responsibilities

Role Overview :

As an Application Engineer for the V93000 SoC ATE system, you will support our global customer base in developing, optimizing, and troubleshooting semiconductor test programs while also playing a key role in enabling AI / LLM capabilities within our software ecosystem . This hybrid role combines deep semiconductor test expertise with modern AI engineering : developing test methodologies, supporting customer projects, and collaborating on integration of LLM-driven tools that enhance productivity, test automation, and engineering workflows across SmarTest 8 and related platforms.

You will bridge the worlds of ATE application engineering and AI-assisted engineering , contributing to next-generation smart tooling that improves test quality, reduces debug time, and unlocks intelligent automation for semiconductor development and production.

Key Responsibilities :

Provide application development support for V93000 SoC ATE systems, including test program creation, debug, and optimization in context of AI project

Communicate with customers to understand requirements and ensure successful delivery

Collaborate with global field engineers, R&D, and application development teams

Support the integration of AI capabilities into SmarTest 8 and related test development flows

Collaborate with R&D on the design and validation of LLM-assisted engineering tools , including code generation, error resolution, and automated test documentation

Assist in dataset preparation, data extraction, and domain-specific curation for LLMs

Contribute to the evaluation of AI features using semiconductor test scenarios (test programs, debug logs, parametric data)

Work with Java / C++ and Eclipse-based environments to integrate AI components into existing toolchains

Provide feedback from real customer use-cases to guide improvement of AI-enabled features

Help ensure AI tools meet requirements for correctness, robustness, latency, and usability within semiconductor test workflows

Support internal testing of RAG pipelines, embeddings, and model behaviors in the context of V93000 workflows

Your Qualifications

University degree in Electronic Engineering, Electrical Engineering, Computer Science, or related field

3-5 years of relevant experience in semiconductor test engineering on ATE platforms (digital, mixed-signal, or RF)

Hands‑on experience developing and debugging test programs on Advantest V93000 / SmarTest 8

Experience with Java programming; familiarity with C++ is beneficial

Basic knowledge of Linux environments and command‑line tools

Strong troubleshooting ability and methodical problem‑solving mindset

Good communication and presentation skills for internal and customer‑facing activities

Experience with or interest in AI / ML workflows, NLP concepts, or LLM‑based tools (training, fine‑tuning, prompt engineering, or evaluation)

Ability to work independently and as part of a global project team

Fluent English (mandatory); German is a plus

Willingness to travel as needed

Our offer

Benefits

Development

Fitness

Security

Flexible and trust‑based working hours, 30 vacation days + option for additional vacation days, mobile working, individual part‑time models and programs for extended periods of absence

Attractive salary, share in Advantest´s success through our exceptionally appealing bonus program as well as numerous subsidies, discounts and offerings (e.g. bike leasing)

Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses and knowledge sessions

Ergonomic working environment, sports and fitness options and events (e.g. Global Challenge) as well as health days

Attractive company pension scheme, comprehensive insurance coverage and support in emergency situations

Take your next career step with us! Apply now, preferably via our online application tool.

If you have any questions, Alena Nicolai will be happy to answer them at

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For further information visit :

Apply now

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