AI Automation/Applications Engineer (EDA to ATE Conversion)

Posted 25 Days Ago
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San Jose, CA, USA
In-Office
Entry level
Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Semiconductor • Automation • Manufacturing
The Role
Deploys and optimizes semiconductor EDA-to-ATE conversion flows using Velocity and related tools. Responsibilities include developing STIL, WGL, EVCD, IJTAG, and SSN conversion methodologies; supporting Advantest platforms; debugging timing, protocol, and pattern issues; creating Python and Java automation utilities; applying AI-assisted diagnostics; collaborating with customer and internal engineering teams; and delivering training and technical workshops.
Summary Generated by Built In
Job Summary & Responsibilities

About the Role 

We are seeking a highly capable engineer to help develop next-generation software and automation solutions for the semiconductor industry. This role focuses on applying modern AI technologies, software engineering, and workflow automation to solve complex engineering challenges and improve productivity across design, test, and manufacturing environments. 

The engineer will work closely with software developers, applications engineers, customers, and domain experts to identify high-value opportunities for automation and develop scalable solutions that improve engineering efficiency, accelerate problem solving, and deliver measurable customer value. 

Successful candidates are strong problem solvers who enjoy building practical solutions, learning new technologies, and applying modern AI tools to real-world engineering challenges. 

Key Responsibilities 

  • Design and develop AI-powered tools and automation workflows that improve engineering productivity. 
  • Use LLMs, AI coding assistants, and modern software development tools to prototype and deploy new capabilities. 
  • Build applications, dashboards, and internal tools that help engineers analyze data, automate workflows, and solve complex technical problems. 
  • Collaborate with software, applications, and semiconductor engineering teams to identify opportunities for intelligent automation. 
  • Evaluate emerging AI technologies and integrate them into real-world engineering workflows. 
  • Support customer-facing engineering projects and help solve challenging technical problems for leading semiconductor companies. 
Preferred Qualifications

Required Qualifications 

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent early-career industry experience. 
  • Strong programming and software development skills using Python, Java, C++, or similar languages, including scripting, data manipulation, and API integration. 
  • Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, workflow automation, or AI-assisted development tools (e.g., Claude, ChatGPT, Copilot). 
  • Strong analytical thinking and debugging skills. 
  • Ability to work independently and communicate technical concepts effectively across cross-functional teams. 
  • Demonstrated interest in automation, semiconductors, or engineering productivity tools. 
  • A builder's mindset with a passion for learning, problem solving, and continuous improvement. 

 

Nice to Have 

  • Experience applying AI/ML technologies to engineering workflows, automation, analytics, or productivity applications. 
  • Exposure to semiconductor design, validation, test, DFT, or related engineering workflows. 
  • Familiarity with EDA tools or semiconductor development environments. 
  • Basic knowledge of test pattern formats such as STIL and WGL. 
  • Experience working in Linux/Unix environments. 

Skills Required

  • Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field
  • Experience with semiconductor EDA-to-ATE conversion environments
  • Hands-on experience with Velocity, Test Insight, VTRAN, or TSSI
  • Strong understanding of DFT and semiconductor test methodologies
  • Experience with STIL, WGL, EVCD, or related pattern formats
  • Programming experience in Python, Java, Perl, and/or C++
  • Strong debugging and analytical problem-solving skills
  • Ability to work directly with customers in high-pressure production environments
  • Strong communication and technical presentation skills
  • Experience with Advantest V93000, ST7, or ST8 environments
  • Knowledge of IJTAG, SSN, EDT, JTAG, or scan architectures
  • Experience with Siemens Tessent or related DFT tool flows
  • Experience developing automation infrastructure for large-scale regression or conversion systems
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The Company
HQ: Tokyo
2,006 Employees
Year Founded: 1954

What We Do

For over a half-century, Advantest has been designing innovative electronic measuring equipment and semiconductor test systems essential to the development and manufacture of advanced computer and telecommunications products. On April 1, 2012, Advantest completed its integration of Verigy Ltd. Additional Information about Advantest can be found at www.advantest.com.

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