Applied Machine Learning Engineer - Circuit Design

Job Description

NVIDIA is seeking a talented individual to work on various projects involving Pre-silicon and Post Silicon custom circuit design, data science, and machine learning optimization.

Requirements

• MS with 3+ years experience or PhD with 1+ years experience in Electrical/Computer Engineering
• Experience with VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, EDA
• Experience in Applied Math/ML/Software programming with Python and C++
• Prior experience in CMOS layout drawing, schematic-to-layout translation, DRC/LVS compliance
• Experience with ML/DL algorithms using TensorFlow, PyTorch, Spark

Responsibilities

• Translating requirements into data science problems and architecting solutions
• Testing and releasing models integrated with existing machine learning and visualization tools
• Analyzing datasets, raising and validating hypotheses, extracting relevant features, building models
• Optimizing models and algorithms to meet quality objectives

Benefits

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.