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System and Analog Data Science

Haifa, IsraelMid · 2-5 yearsData Scientist

What you'll do

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.

What they're looking for

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.
Excellent problem-solving skills, with the ability to translate complex technical challenges into solvable data science problems.
Strong communication, collaboration, and presentation skills.

Nice to have

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.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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.

Qualifications:

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.

Job Type:

Regular

Shift:

Shift 1 (Israel)

Primary Location:

Haifa, Israel

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Company

Altera