Design, architect, develop, and deploy scalable software systems, APIs, integrations, and AI-enabled applications. Lead technical design decisions, architecture reviews, roadmaps, and engineering best practices while mentoring engineers. Collaborate with global teams, semiconductor experts, product groups, and customers. Support proof-of-concepts, technical workshops, deployments, CI/CD, testing, and adoption of AI technologies such as LLMs, RAG, and intelligent workflows.
Job Summary & Responsibilities
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.
- Bachelor's degree in Electrical Engineering, Computer Science, Software Engineering, or related technical field.
- 5+ years of software development experience designing and delivering commercial or enterprise software solutions.
- Strong software architecture and system design experience.
- Proficiency in modern software development languages such as Python, Java, C++, Rust, or JavaScript/TypeScript.
- Strong understanding of Git-based development workflows and GitHub.
- Understanding of some networking and communication protocols (TCP/IP, HTTP, gRPC)
- Experience with Agile software development methodologies.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience implementing CI/CD pipelines, automated testing, and code quality processes.
- Strong debugging, troubleshooting, and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work effectively across global, cross-functional teams.
Preferred Qualifications
- Experience with artificial intelligence technologies including:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents
- MCP (Model Context Protocol)
- AI-assisted development tools
- Experience integrating AI services into production applications.
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
- Experience in semiconductor test, semiconductor manufacturing, EDA, or related industries.
- Experience with the Advantest V93000 / SmarTest ecosystem.
- Experience leading architecture initiatives or technical transformation projects.
- Experience working directly with customers to define requirements and deliver technical solutions.
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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