Applied Machine Learning Engineer, VLSI Design - New College Grad 2024
Description For Applied Machine Learning Engineer, VLSI Design - New College Grad 2024
NVIDIA, a pioneer in accelerated computing for over 25 years, is seeking an Applied Machine Learning Engineer for VLSI Design. This role is perfect for new college graduates in 2024 who are passionate about AI and cutting-edge technology.
As an Applied Machine Learning Engineer, you'll be at the forefront of NVIDIA's innovative work in AI and digital twins, which is transforming major industries and impacting society. You'll work on exciting projects involving hardware design, circuit optimization, and silicon data analysis.
Key responsibilities include:
- Collaborating on pre-silicon and post-silicon hardware design projects
- Analyzing silicon data and manufacturing process variations
- Translating requirements into data science solutions
- Building and optimizing machine learning models
- Integrating models with existing ML and visualization tools
We're looking for candidates with:
- MS/PhD in Electrical/Computer Engineering, Computer Science, or Applied Mathematics
- Experience in Applied Math, ML, and software programming
- Proficiency in Python and C++
- Strong communication and presentation skills
Preferred skills include experience with ML/DL frameworks like TensorFlow, PyTorch, and Spark.
At NVIDIA, you'll be part of a diverse, supportive environment where everyone is inspired to do their best work. You'll have the opportunity to make a lasting impact on the world through groundbreaking technology.
The role offers a competitive salary range of $92,000 - $178,250 USD, along with equity and comprehensive benefits. Join us in shaping the future of AI and accelerated computing!
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Responsibilities For Applied Machine Learning Engineer, VLSI Design - New College Grad 2024
- Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data, Circuit Optimization and Spice correlation
- Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc.
- Translate requirements into a data science problem, architect and build solutions
- Test and release models that integrate with existing machine learning and visualization tools within the organization
- Analyze datasets, raise and validate hypotheses, extract relevant features and build models
- Optimize models and algorithms until they reach the desired QOR
Requirements For Applied Machine Learning Engineer, VLSI Design - New College Grad 2024
- MS/PhD in Electrical/Computer Engineering, Computer Science, or Applied Mathematics (or equivalent experience)
- Prior experience in Applied Math/ML/Software programming
- Experience in writing code in Python, C++
Benefits For Applied Machine Learning Engineer, VLSI Design - New College Grad 2024
- Equity
