Application Engineer - AI Enablement (m/f/d)
Advantest
About the role
About Advantest
Advantest enables tomorrow's technology, including IoT, 5G, and Artificial Intelligence. Over half of all microchips produced worldwide pass through our systems. As the global market leader of automated test systems in the semiconductor industry, we help realize the digital transformation, enable our customers to shape the future, and offer exciting jobs for pioneers.
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. You will also play a key role in enabling AI/LLM capabilities within our software ecosystem. This hybrid role combines deep semiconductor test expertise with modern AI engineering, involving developing test methodologies, supporting customer projects, and collaborating on the integration of LLM-driven tools to 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 the context of AI projects.
- 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 the 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.
Qualifications
- University degree in Electronic Engineering, Electrical Engineering, Computer Science, or a 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
- Flexibility: 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.
- Benefits: 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).
- Development: Structured onboarding programs and mentoring, development discussions, technical and soft skill trainings, language courses, and knowledge sessions.
- Fitness: Ergonomic working environment, sports and fitness options and events (e.g., Global Challenge), as well as health days.
- Security: 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 +49 (0) 7031.204.8380.
For further information visit: www.advantest-career.de
Would you like to know more about jobs at Advantest and about our unique team spirit? Our employees offer their personal insights into our working environment. Would you like to take a closer look at how our working environment looks like? Here you can take a short virtual 360° tour of our company - click the link to get to know us better.
Locations: Böblingen, Amerang
Requirements
- University degree in Electronic Engineering, Electrical Engineering, Computer Science, or related field
- 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
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
Benefits
Skills
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