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Job Title: Sr. Design Automation Engineer
Posting Start Date: 7/20/26
Job Location(s): Bengaluru

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high performance analog semiconductors whose solutions are powering the wireless networking revolution. At Skyworks, you will find a fast-paced setting with a strong focus on global collaboration, minimal layers of management and the freedom to make meaningful contributions in a setting that encourages creativity and out-of-the-box thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together can change the way the world communicates.

Requisition ID: 77977

Job Description:
Description

At Skyworks, we work at the intersection of some of industry's most complex RF/analog design and methodology. As part of the central engineering team, you will apply modern AI and ML techniques to semiconductor design and engineering workflows. You will build inference pipelines, curate and engineer design and simulation datasets, and develop applications that use structured reasoning to assist engineers in complex decision-making. This is a software-first role with meaningful domain exposure to semiconductor design and verification.

Responsibilities
Design and deploy ML inference models for engineering use cases: prediction, classification,



anomaly detection, and recommendation over design/simulation data
Build data engineering pipelines to ingest, clean, label, and version datasets from design and layout databases, as well as simulation and physical verification results
Develop LLM-based applications with chain-of-thought prompting for guided troubleshooting, documentation Q&A;, and methodology assistance
Implement MLOps practices: model versioning, A/B testing, monitoring for drift, and reproducible training pipelines
Create APIs and services that integrate ML capabilities into existing EDA and engineering platforms
Collaborate with domain experts to define features, labels, and evaluation metrics grounded in engineering outcomes
Stay current with industry-standard techniques in deep learning, transformers, and efficient inference
Required Experience and Skills
M.Tech/M.S. in Computer Science, EE (with ML focus), or related field from a reputed university
3–5 years of professional software development with substantial ML/AI component
Solid Python skills and experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
Experience building and deploying inference models in production environments (not only notebook prototypes)




Solid data engineering skills: SQL, ETL pipelines, data versioning, and handling large structured/semi-structured datasets
Understanding of LLM application development: prompt engineering, RAG architectures, and chain-of-thought reasoning patterns
Familiarity with model evaluation, cross-validation, and metrics selection appropriate to the problem domain
Software engineering discipline: testing, code review, Git, and CI/CD for ML projects
Desired Experience and Skills
Exposure to semiconductor, EDA, or hardware engineering data (SPICE results, DRC violations, parametric test data)
Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases) and model serving (TorchServe, Triton, FastAPI)
Familiarity with vector databases and embedding models for domain-specific RAG
Understanding of time-series analysis or graph neural networks for netlist/circuit representations
Publications or demonstrable projects in applied ML (not required, but valued)

#LIPR1

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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📌 Sr. Design Automation Engineer (India)
🏢 Skyworks Solutions
📍 India