Analog Circuit Design Engineer - AI/ML methodology
Texas Instruments (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy AI/ML models and analytical solutions across semiconductor development processes to accelerate design, verification, manufacturing yield, and reliability.
- Own and drive adoption of data science tools and methodologies within design, process development, test, and manufacturing teams.
- Apply advanced mathematical theories (optimization, linear algebra, probability) to create physics-informed models improving efficiency and quality.
Minimum Requirements
- Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Applied Math, Electrical Engineering, Physics, or related quantitative field.
- Minimum 3 years professional experience in data science or machine learning roles.
- Strong foundation in mathematical concepts including calculus, linear algebra, probability theory, and optimization.
- Cumulative GPA of 3.0/4.0 or higher for recent graduates.
Ideal Candidate Profile
- Expertise in mathematically rigorous AI/ML with ability to derive algorithms from first principles and apply to physical systems in semiconductor context.
- Experience deploying ML models in production environments within engineering or semiconductor sectors.
- Familiarity with semiconductor EDA tools or design of experiments techniques is a plus, with ability to communicate complex analytical findings to engineering teams.