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Automation Engineer to join the PDK team and drive AI‑enabled automation for EDA workflows. The role will focus on building smart scripts, validation pipelines, and ML models that streamline PDK, regression, and verification activities. Develop & maintain Python‑based automation frameworks for PDK regression suites. Integrate AI/ML models (e.g., anomaly detection, rule‑generation, predictive failure analysis) into existing EDA toolchains (Calibre, Synopsys, Cadence). Create data pipelines to ingest simulation, extraction, and layout data for regression.
Collaborate with PDK engineers, QA leads, to translate functional requirements into automated solutions. Document code, workflows, provide training/knowledge‑transfer sessions for internal users.
Job ID: 147471177
Skills:
Algorithms, Testing Techniques, Scalability, automating test cases, Lean Agile XP CI, AI for test automation, refactoring, AEM CMS testing, Documentation Practices, Software and Product Security, core data structures
Skills:
Elk, Prometheus, Kafka, Grafana, React, RDBMS, ARM templates, Terraform, Elasticsearch, Python, Oauth, Java, Springboot, Hibernate, Cloudformation, Bash, Rest Api, Ms Azure, Jenkins, Git, Gradle, Azure Ad, Spark, Kubernetes, Nosql, Event Hub, Application gateway, HD insight, GitHub Actions, AKS, GitLab CI, Virtue Networks
Skills:
C, RDBMS Core Functions, RDBMS Storage, Database Internals, AI Algorithms, RDBMS Kernel
Skills:
Unit Testing, Bash, Jira, Jmeter, Docker, Terraform, AWS CloudFormation, Gitlab, Python, Kubernetes, AWS, Go, Confluent Kafka, Mutation Testing, Kafka Streams, Contract Testing
Skills:
Automated Testing, Appium, Jenkins, Git, Opencv, Robot Framework, Selenium, Python, Pytest, GitHub Actions, Pytesseract, EasyOCR
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