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
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