Applied ML Engineer for VLSI & ASIC Design

NVIDIA; California (MO); On-site; USD 116,000 - 218,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

A leading technology company in California is seeking a talented professional to work on custom circuit design and data science projects. The role demands expertise in VLSI, circuit design, and CMOS physics, along with proficiency in Python and C++. Applicants with a MS or PhD in Electrical/Computer Engineering and relevant experience are encouraged to apply. The base salary ranges from 116,000 to 218,500 USD based on level and experience, along with equity and benefits.

Qualifications

• Experience with VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, EDA is mandatory.
• Proficiency in Python and C++ programming languages is essential.
• Must have knowledge in Applied Math, ML, and Software programming.

Responsibilities

• Work on custom circuit design and related data.
• Analyze silicon data and conduct manufacturing process variation analysis.
• Translate requirements into data science problems and build solutions.
• Test and release models integrating with existing ML and visualization tools.
• Analyze datasets and extract relevant features to build models.
• Optimize models and algorithms to meet the desired Quality of Results (QOR).

Skills

VLSI

Circuit Design

CMOS Device Physics

Python

C++

Applied Math/ML/Software programming

Education

MS or PhD in Electrical/Computer Engineering

Tools

TensorFlow

PyTorch

Spark

Job description

A leading technology company in California is seeking a talented professional to work on custom circuit design and data science projects. The role demands expertise in VLSI, circuit design, and CMOS physics, along with proficiency in Python and C++. Applicants with a MS or PhD in Electrical/Computer Engineering and relevant experience are encouraged to apply. The base salary ranges from 116,000 to 218,500 USD based on level and experience, along with equity and benefits.