System and Analog Data Science

Job Details

Job Description:

Job Summary

Altera is seeking a System and Analog Data Scientist to apply advanced data analytics and machine learning techniques to optimize the design, verification, and performance of complex system-on-chip (SoC) and analog circuits. This role will leverage data-driven insights to improve product quality, efficiency, and time-to-market.

Job Responsibilities

• Develop and implement data collection, cleaning, and transformation pipelines for various system and analog design and test data sources.
• Apply statistical analysis, machine learning, and deep learning algorithms to identify patterns, anomalies, and correlations in large datasets.
• Create predictive models for circuit performance, reliability, and yield, informing design decisions and reducing design iterations.
• Design and execute experiments to validate models and evaluate the impact of data-driven insights on product development.
• Collaborate with design, verification, and test engineering teams to integrate data science solutions into existing workflows.
• Communicate complex analytical findings to technical and non-technical stakeholders through clear visualizations and reports.
• Research and stay current with the latest advancements in data science, machine learning, and semiconductor design methodologies.
  
  

• BSc, Master's or Ph.D. in Electrical Engineering, Computer Science, Data Science, Statistics, or a related quantitative field.
• Proven experience (3+ years) in applying data science and machine learning techniques to engineering problems, preferably within the semiconductor industry.
• Strong proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.
• Experience with statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis), and deep learning architectures.
• Familiarity with data warehousing, SQL, and big data technologies (e.g., Spark, Hadoop) is a plus.
• Understanding of semiconductor design flows, analog circuit fundamentals, and system-level architectures is highly desirable.
• Excellent problem-solving skills, with the ability to translate complex technical challenges into solvable data science problems.
• Strong communication, collaboration, and presentation skills.