Lead Software Engineer

Quantus is the best extraction tool in the market. Our team is pushing the technology envelop in two fronts –ever challenging physical modeling in advanced process nodes, and faster turn-around time while preserving high level of accuracy. At Quantus team, we pioneered the machine learning adaption in physical modeling.  We are looking for a highly motivated software engineer to add to our talent pool, in research and development using the state-of-the-art technologies in the area of on-chip parasitic modeling, in a fast-paced, small team environment.

The position is in San Jose, CA

Position Requirements:

Fast learner, highly motivated with good communication skills to solve extremely challenging technical problems, in a start-up like environment.
Good experience in C/C++ coding.
Strong background in algorithms and implementation for the processing of large amount of data
Knowledge in UNIX shell and scripting language like Python or Perl or Tcl
Minimum: Master or PhD graduate candidates in Computer Science, Mathematics, Physics, EE or allied fields.
Knowledge and experience with state-of-the-art modeling or machine learning technologies,  physical verification, parasitic modeling is a big plus