Platform Software Engineer In Test ( Internship)

Centro Escolar University

San Jose (CA)

On-site

USD 30,000 - 47,000

Part time

14 days+

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Job summary

Centro Escolar University is seeking a student for a Software QA role focused on testing multiple platforms and collaborating with engineers to improve software quality. You will work with OS concepts, databases, and networking while applying scripting languages to investigate and troubleshoot issues.

Ideal candidates are pursuing CS/EE/Math degrees, with junior/senior status, and have coursework or internships related to software development or testing.

Qualifications

  • Pursuing a bachelor’s or master’s degree in computer science, electrical engineering, mathematics, or related field.
  • Junior or senior standing, or graduate-level student.
  • Preferred coursework, projects, research, or internship related to software development, testing, or systems engineering.

Responsibilities

  • Contribute to testing activities across multiple software platforms within the Platform Software Quality Assurance team.
  • Collaborate with software developers, hardware engineers, and application engineers to evaluate new features and identify issues.
  • Help improve software quality throughout the development lifecycle.
  • Understand operating systems, relational databases, networking concepts, and client-server architectures.
  • Demonstrate familiarity with concurrent computing concepts and file system management.
  • Apply analytical thinking and numerical problem-solving skills to investigate software behavior.
  • Use programming or scripting languages such as Python, C++, Perl, or Shell scripting.
  • Troubleshoot technical issues and identify root causes effectively.
  • Communicate technical information clearly with both technical and non-technical audiences.
  • Collaborate effectively in a cross-functional team environment.
  • Use AI-assisted engineering tools responsibly for learning, coding, test design, and documentation while protecting confidential information.
  • Evaluate AI-generated outputs for accuracy, reliability, security, and relevance before applying them to engineering work.

Skills

Software testing
Python
C++
Perl
Shell scripting
Analytical thinking
Communication
Team collaboration

Education

Bachelor's or Master’s degree in CS/EE/Math

Tools

Linux/Unix
Relational databases
Networking concepts
AI-assisted testing tools

Job description

Your Role

Here's what you will be doing:

  • Contribute to testing activities across multiple software platforms within the Platform Software Quality Assurance team.
  • Collaborate with software developers, hardware engineers, and application engineers to evaluate new features and identify issues.
  • Help improve software quality throughout the development lifecycle.
  • Understand operating systems, relational databases, networking concepts, and client-server architectures.
  • Demonstrate familiarity with concurrent computing concepts and file system management.
  • Apply analytical thinking and numerical problem-solving skills to investigate software behavior.
  • Use programming or scripting languages such as Python, C++, Perl, or Shell scripting.
  • Troubleshoot technical issues and identify root causes effectively.
  • Communicate technical information clearly with both technical and non-technical audiences.
  • Collaborate effectively in a cross-functional team environment.
  • Use AI-assisted engineering tools responsibly for learning, coding, test design, and documentation while protecting confidential information.
  • Evaluate AI-generated outputs for accuracy, reliability, security, and relevance before applying them to engineering work.
About You

The company is looking for:

  • Currently pursuing a bachelor's or master's degree in computer science, electrical engineering, mathematics, or a related field.
  • Junior or senior standing, or graduate-level student.
  • Preferred previous coursework, academic projects, research, or internship experience related to software development, software testing, or system engineering.
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