Applied Machine Learning Engineer

Job Summary

A company is looking for an Applied Machine Learning Engineer - Circuit Design.

Key Responsibilities

• Collaborate on Pre-silicon and Post Silicon custom circuit design projects, including optimization and data analysis
• Translate requirements into data science problems and build solutions for model testing and integration
• Analyze datasets, validate hypotheses, extract features, and optimize models and algorithms for quality of results

Required Qualifications

• MS in Electrical/Computer Engineering with 3+ years of experience or PhD with 1+ year of experience
• Experience in VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, and EDA
• Proficiency in Python and C++ for Applied Math/ML/Software programming
• Familiarity with CMOS layout drawing, schematic-to-layout translation, and DRC/LVS compliance is a plus
• Experience with ML/DL algorithms and frameworks such as TensorFlow, PyTorch, or Spark is advantageous