System and Analog Data Scientist

Job Title

System and Analog Data Scientist

Role Summary

Apply data analytics and machine learning to improve the design, verification, performance, and yield of system-on-chip (SoC) and analog circuits. Work with design, verification, and test engineering teams to embed data-driven models and insights into engineering workflows.

Focus on predictive modeling, anomaly detection, experiment design, and productionizing analytics to reduce design iterations and time-to-market.

Experience Level

Mid-level - approximately 3+ years of relevant data science experience applied to engineering or semiconductor problems.

Responsibilities

Key responsibilities include:

• Develop data ingestion, cleaning, and transformation pipelines for design and test data.
• Apply statistical analysis, machine learning, and deep learning to identify patterns, anomalies, and correlations in large datasets.
• Create predictive models for circuit performance, reliability, and yield to inform design decisions.
• Design and execute experiments to validate models and measure impact on product development.
• Integrate data science solutions into design, verification, and test workflows.
• Communicate analytical findings to technical and non-technical stakeholders via clear visualizations and reports.
• Stay current with advances in data science, machine learning, and semiconductor design methodologies.

Requirements

Must-have technical skills and experience:

• 3+ years applying data science and machine learning to engineering problems; semiconductor industry experience preferred.
• Proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) or R.
• Experience with statistical modeling, regression, classification, clustering, time-series analysis, and deep learning.
• Ability to translate engineering challenges into data-driven solutions and design experiments for validation.
• Strong communication, collaboration, and presentation skills for cross-functional teams.
• Familiarity with SQL and data warehousing.
• Nice-to-have: experience with big-data tools (Spark, Hadoop); familiarity with semiconductor design flows, analog circuit fundamentals, and system-level architectures.

Education Requirements

BSc, Master's or Ph.D. in Electrical Engineering, Computer Science, Data Science, Statistics, or a related quantitative field.

About the Company

Company: Altera

Headquarters: Bengaluru, Karnataka, India

Altera provides leadership programmable solutions for applications ranging from cloud to edge, unveiling limitless AI possibilities. Their extensive product portfolio includes FPGAs, CPLDs, Intellectual Property, development tools, and System on Modules aimed at accelerating innovation in various fields.