Software Engineer – Fab Solutions R&D

Siemens EDA (Siemens Digital Industries Software); Wilsonville (OR); On-site; USD 90,000 - 150,000; Full time

Job summary

Siemens EDA (Siemens Digital Industries Software) seeks a software engineer to design and develop Fab Solutions software within the Calibre product family. You will own the full development lifecycle from concept through testing and release-quality validation.

Requirements include a BS in a technical field and at least 2 years of experience in software engineering or data science using Python or C/C++. Strong ML, computational geometry, and data-intensive manufacturing workflows experience are

Qualifications

• BS in a technical field with at least 2 years of professional software engineering or data science experience using Python or C/C++.
• Strong preference for experience in machine learning, computational geometry, and data-intensive manufacturing workflows.

Responsibilities

• Design and develop software for the Fab Solutions product line within the Calibre business unit.
• Drive the full development lifecycle from conceptualization and programming to testing and release-quality validation.

Skills

Python

C/C++

Linux

Computational Geometry

Machine Learning

Statistical Modeling

Predictive Analytics

Scikit-learn

TensorFlow

Pandas

NumPy

Tcl/Tk

Shell Scripting

Data Pipelines

Feature Engineering

EDA

Education

Bachelor's degree in a technical field

Tools

Linux

Job description

The role involves designing and developing software for the Fab Solutions product line within the Calibre business unit. Responsibilities include driving the full development lifecycle from conceptualization and programming to testing and release-quality validation.

Requirements

Candidates must have a BS in a technical field and at least 2 years of professional experience in software engineering or data science using Python or C/C++. Proficiency in machine learning, computational geometry, and data-intensive manufacturing workflows is strongly preferred.

Key Skills

• Python
• C/C++
• Linux
• Computational Geometry
• Machine Learning
• Statistical Modeling
• Predictive Analytics
• Scikit-learn
• TensorFlow
• Pandas
• NumPy
• Tcl/Tk
• Shell Scripting
• Data Pipelines
• Feature Engineering
• EDA