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
Machine Learning Engineer • Pasadena, Texas, United States