Skyworks is seeking to apply machine learning expertise to high-impact, real-world engineering challenges in the analog and RF domain to enable next-generation wireless communications.
Requirements
- Strong theoretical and practical experience in machine learning and deep learning, including CNNs, transformers, time-series models, or probabilistic methods.
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
- Solid understanding of statistics, optimization, and model evaluation techniques.
- Exposure to semiconductor, electronics, or RF system domains (e.g., basic understanding of circuit behavior, test data, signal integrity).
- Experience working with large, complex datasets (e.g., sensor, waveform, or EDA simulation outputs).
- Familiarity with data infrastructure and workflow orchestration (e.g., Airflow, MLflow, or cloud platforms).
- Contributions to peer-reviewed research, patents, or open-source ML projects.
Responsibilities
- Predictive analytics for yield and quality improvement
- Optimization of circuit or device parameters
- RF signal modeling and anomaly detection
- Root-cause analysis across test and manufacturing data
- Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training, evaluation, deployment, and monitoring.
- Collaborate with cross-functional stakeholders including design engineers, process experts, and product owners to understand problem statements and translate them into ML solutions.
- Work on both research-oriented prototypes and production-grade deployments.
Other
- BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
- Excellent communication and collaboration skills, with the ability to work across disciplines and teams.
- Ability to work in a fast-paced environment with a flat organizational structure and global collaboration.
- Access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave).
- Eligibility to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock.
