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 environment with a solid 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
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 eva