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Applied Machine Learning Engineer – Circuit Design
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Santa Clara • California • 🇺🇸 United States
Visit company websiteSalary
💰 $108,000 - $212,750 per year
Job Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data.
- Circuit/Layout Optimization and Spice correlation.
- Responsible for translating the requirements into a data science problem, architect and build solutions.
- In charge for testing and release of models that integrate with existing machine learning and visualization tools within the organization.
- Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them.
- Optimize the models and algorithms until they reach the desired QOR.
Requirements
- MS or PhD in Electrical/Computer Engineering (or equivalent experience).
- Experience with VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, EDA is a strict requirement for this role.
- Shown ability in writing code in Python and C++.
- Experience in Applied Math/ML/Software programming.
Benefits
- Equity
- Benefits 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonC++VLSICircuit DesignCMOS Device PhysicsTimingASICEDAApplied MathMachine Learning
Certifications
MS in Electrical EngineeringPhD in Electrical Engineering
