Principal Software Engineer ( Big Data )

KLA Tencor   •  

Ann Arbor, MI

Industry: Manufacturing


8 - 10 years

Posted 34 days ago


We are looking for passionate professionals to join our team!

You will be a key member of our highly integrated multidisciplinary team of software, systems, applications and algo engineers.

You will be responsible for equirement analysis, design, implementing and testing software solutions to solve some of the most advanced technical challenges facing the industry.

As a key member of the High-Performance Computing team, you will be responsible for the design and development of distributed software platforms that will be used for big-data analytics and machine-learning.

Experience with open-source tools on Linux is highly desired along with the ability to experiment, evaluate and recommend best of breed solutions.

You should be somebody who enjoys working on complex system software, is very customer-centric, understands the big picture and feels strongly not only about building good software but about making that software achieve its goals in reality.


Required Qualifications:

  • Programming in Linux environment using Java & Python
  • Experience with SQL and NoSQL databases
  • Experience working with modern open-source tools for distributed computing (like Apache Spark, Hadoop, Kafka, Redis etc.)
  • Experience with Object-Oriented Software Analysis and Design using UML modeling
  • Excellent mathematical and analytical skills
  • Experience building distributed RESTful web services
  • Familiarity with administering, debugging and tuning Linux systems and software
  • Work in an Agile based development environment

Good to have skills:

  • Familiarity with Deep Learning frameworks like TensorFlow & Keras
  • Experience working with open-source software is a plus
  • Programing in any one of C/C++ or Scala will be considered a positive
  • Full-stack web-development with emphasis on Python Django, JavaScript, Angular
  • Experience with test automation a plus
  • Experience with Cloud technologies for scaling like Linux containers, Kubernetes, Virtual Machines etc. a plus

Minimum Qualifications

Bachelor's Level Degree with at least 8-12 plus years of experience.


Master's Level Degree with at least 6-8 plus years of experience.


Doctorate (Academic) with at least 3-5 plus years of experience.