Data Scientist for BAW/SAW Filter Solutions
Irvine, CA, US
Full Time Senior-level / Expert USD 110K - 210K
Skyworks Solutions, Inc.
Skyworks is Connecting Everyone and Everything, All the Time.
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. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, mutual trust, and respect. 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 are changing the way the world communicates.
Requisition ID: 72923
Job Description
Data Scientist for BAW/SAW Filter Solutions
Skyworks Solutions seeks a skilled device R&D engineer who will play a key role in the development of Skyworks’ SAW/BAW and MEMs technologies. This engineer will develop Machine learning models and Finite Element Models for SAW/BAW resonators and will also analyze a variety of characterization and metrology data to provide feedback to the device fabrication team. He / she will work closely with both U.S. and Asia based engineering teams.
Location: Irvine, CA
Key responsibilities:
• Process, cleanse, and validate data integrity for subsequent analysis, modeling, and experimentation.
• Analyze on-wafer device statistics of key device parameters and perform advanced data analytics.
• Develop and apply machine learning algorithms to technical challenges related to BAW/SAW devices.
• Accelerate finite element models with machine learning techniques in collaboration with other device modeling engineers.
• Provide technical guidance on machine learning solutions within cross-functional teams.
• Propose novel approaches to characterize, analyze, and model MEMs devices, pushing the limits of state-of-the-art BAW and SAW devices.
Key outcomes that are desired:
• Accelerate the SAW/BAW roadmap for next-generation devices, achieving reduced size, improved performance, and cost-effectiveness.
• Excel at multitasking across two or more projects simultaneously.
• Geared toward being a team player, contributing to a seamless interface between BAW development teams in the US and Asia.
Experience:
• PhD degree in Engineering, or Machine Learning is required.
• Experience in collecting, analyzing, and interpreting scientific data.
• Proficiency with Machine Learning framework, such as PyTorch and TensorFlow.
• Experience with deep learning models, such as CNNs, GNNs, Transformers, RNNs.
• Familiarity with generative models, such as VAEs, GANs and Diffusion model.
• Ability to build autonomous systems for dataset definition, model training, and evaluation.
• >5 years of industry or university experience is preferred.
• Experience in finite element simulations and knowledge in MEMS technology is preferred.
• Demonstrated strong communication and presentation skills.
Candidate Profile:
The ideal candidate will have deep knowledge and experience in working with semiconductor and/or MEMs devices and test methodologies required by such devices. Knowledge of BAW/SAW resonator technology is desired. The candidate will have the ability to function effectively in a multi-cultural, multi-geographic environment and must also be able to collaborate well with other engineers to achieve divisional objectives. The candidate may be asked to travel to Asia to collaborate across different design and development engineering sites to proliferate modeling methodologies and/or techniques that he/she has developed.
The typical base pay range for this role across the U.S. is currently USD $110,600 - $210,600 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include 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), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
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. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
Tags: Data Analytics Deep Learning Engineering Excel GANs Generative modeling Machine Learning ML models Model training PhD PyTorch R R&D Statistics TensorFlow Transformers
Perks/benefits: 401(k) matching Career development Equity Medical leave Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Data Engineer II jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Consulting-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs