We are looking for a Senior Software Engineer to help build the backend and platform foundation for AI-assisted engineering automation. This role is ideal for someone who enjoys building reliable backend services, long-running workflow execution, data and artifact handling, deployment, observability, and integration with AI/ML services. The engineer in this role will help turn advanced prototypes into reliable internal platforms used by engineering teams. It is also a strong fit for platform engineers who want to grow into AI infrastructure, LLM integration, and agent-enabled engineering workflows.
WHAT YOU WILL DO:
- Build backend APIs and services for engineering automation workflows.
- Design and improve long-running job execution using worker queues such as Celery/Redis or similar
systems.
- Develop reliable handling of engineering data, input files, configurations, logs, intermediate outputs,
final results, and versioned artifacts.
- Improve platform reliability through testing, structured logging, monitoring, error handling, and
failure recovery.
- Containerize, deploy, and operate services using Docker and Linux-based environments.
- Support concurrent users and workloads through scalable service design, queue management, and
resource-aware execution.
- Integrate platform services with automation engines, AI assistants, local models, and external AI/ML
services.
- Work closely with algorithm, AI, and domain engineers to convert engineering workflows into
maintainable software.
5-7 years of hands-on software engineering experience.
- Strong Python backend development.
- Experience with FastAPI, Flask, Django, or similar backend frameworks.
- Experience with background jobs, queues, workers, async processing, or workflow orchestration.
- Hands-on exposure to Redis, Celery, message brokers, caching, or equivalent systems.
- Docker and Linux deployment experience.
- Strong debugging, testing, data modeling, and code review skills.
- Ability to take ownership of ambiguous platform and product problems.
- Comfortable using AI coding assistants while critically reviewing generated code.
GOOD TO HAVE:
- Experience building internal platforms, workflow tools, automation systems, or data-heavy
applications.
- Object storage, artifact management, large-file handling, or result-versioning experience.
- Observability tools such as Prometheus, Grafana, OpenTelemetry, ELK, Loki, or similar.
- Kubernetes or container orchestration exposure.
- Interest or exposure to LLM engineering, AI agents, model-serving APIs, vector databases, GPU-backed
workloads, or MLOps/LLMOps.
- TypeScript/frontend experience for engineering dashboards or visualization-heavy applications.
- Exposure to semiconductor test, validation, CAD/CAE, simulation, manufacturing, or engineering
automation domains.
Skills Required
- 5-7 years of hands-on software engineering experience.
- Strong Python backend development.
- Experience with FastAPI, Flask, Django, or similar backend frameworks.
- Experience with background jobs, queues, workers, async processing, or workflow orchestration.
- Hands-on exposure to Redis, Celery, message brokers, caching, or equivalent systems.
- Docker and Linux deployment experience.
- Strong debugging, testing, data modeling, and code review skills.
- Ability to take ownership of ambiguous platform and product problems.
- Comfortable using AI coding assistants while critically reviewing generated code.
- Experience building internal platforms, workflow tools, automation systems, or data-heavy applications.
- Object storage, artifact management, large-file handling, or result-versioning experience.
- Observability tools such as Prometheus, Grafana, OpenTelemetry, ELK, or Loki.
- Kubernetes or container orchestration exposure.
- Interest or exposure to LLM engineering, AI agents, model-serving APIs, vector databases, GPU-backed workloads, or MLOps/LLMOps.
- TypeScript/frontend experience for dashboards or visualization-heavy applications.
- Exposure to semiconductor test, validation, CAD/CAE, simulation, manufacturing, or engineering automation domains.
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.
