4 дня назад
Platform Validation Intern
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Validation Intern (Python/Linux): Validating data center platforms through hardware setup, operating system deployment, test execution, and issue triage with an accent on system reliability, debugging, and test automation. Focus on scripting manual test cases, automating test plans with orchestration tools, and identifying root causes across hardware and software systems.
Location: Guadalajara, Mexico; hybrid work model with time split between the site and off-site work
Company
's Data Center Group develops and validates high-performance computing platforms and data-centric technologies.
What you will do
- Set up platforms, configure hardware, and deploy operating systems.
- Execute test cases and report results during validation cycles.
- Perform triage and investigate root causes of platform issues.
- Script manual test cases and automate test plans with orchestration tools.
- Follow engineering processes, quality standards, and safety guidelines.
Requirements
- Currently pursuing a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related STEM field, with at least one year remaining as an active student.
- At least one year of experience with Python or similar scripting languages, Linux, computer assembly, firmware or software updates, and system validation.
- Advanced English proficiency.
- Unrestricted, permanent right to work in Mexico is required; visa or immigration sponsorship is not available.
- Strong organizational skills, eagerness to learn, and ability to work effectively in a team.
Nice to have
- Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Experience with GitHub, SVN, GitLab, Jenkins, or Airflow.
Culture & Benefits
- Part-time student/intern position on Shift 1 in Mexico.
- Hands-on exposure to validation, debugging, and automation challenges.
- Collaboration with hardware and software engineering teams in a fast-paced environment.
- Hybrid work model combining on-site and off-site work.
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