Applied Machine Learning Engineer - Circuit Design
Job Description
NVIDIA, a pioneer in accelerated computing for over 25 years, is seeking an Applied Machine Learning Engineer for Circuit Design. This role combines traditional VLSI/circuit design expertise with modern machine learning applications. The position involves working with pre-silicon and post-silicon custom circuit design, focusing on optimization and analysis using ML techniques. The ideal candidate will have a strong foundation in electrical engineering (MS with 3+ years or PhD with 1+ year) and practical experience in both hardware design (VLSI, CMOS, ASIC) and software development (Python, C++). The role offers competitive compensation ($136,000-$264,500 based on level) and the opportunity to work with cutting-edge technology at a company that's transforming industries through AI and accelerated computing. NVIDIA provides a diverse, supportive environment where innovation is encouraged, and employees can make lasting impacts on world-changing technologies. The position combines hands-on technical work with cross-functional collaboration, requiring both deep technical expertise and strong communication skills.
Responsibilities For Applied Machine Learning Engineer - Circuit Design
- Work on Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation
- Work on analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing
- Translate requirements into data science problems, architect and build solutions
- Test and release models that integrate with existing machine learning and visualization tools
- Analyze datasets, raise and validate hypotheses, extract relevant features and build models
- Optimize models and algorithms until reaching desired QOR
Requirements For Applied Machine Learning Engineer - Circuit Design
- 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 proven ability in writing code in Python and C++
- Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark (plus)
- Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance (plus)
Benefits For Applied Machine Learning Engineer - Circuit Design
- Equity
- Benefits package offered but details not specified
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