обновлено 12 дней назад
System Chip Validation Intern (Python)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
System Chip Validation Intern (Python): Validating networking switch designs and developing automated test solutions for Marvell system-on-chips with an accent on Python scripting, test automation, and system-level testing. Focus on analyzing complex hardware and software failures, debugging validation issues, and driving root-cause analysis across architecture, design, firmware, and software interfaces.
Location: Petah-Tikva, Israel; onsite role
Company
develops semiconductor solutions for enterprise, cloud, AI, and carrier data infrastructure.
What you will do
- Design test plans and validation suites for networking switch features.
- Develop scalable test automation frameworks using Python.
- Execute validation tests and analyze results across system-level scenarios.
- Investigate and debug hardware, software, and system-level failures.
- Drive root-cause analysis and collaborate with Architecture, Design, and Pre-silicon Validation teams.
- Use traffic generation tools such as Ixia to validate complex switch designs.
Requirements
- Be a second- or third-year B.Sc. or M.Sc. student in Electrical Engineering, Computer Engineering, or a related field, with at least two years remaining before graduation.
- Have hands-on experience developing automation with Python and C++.
- Demonstrate strong problem-solving, debugging, organization, documentation, and research skills.
- Understand complex systems from a high-level architectural perspective while maintaining attention to implementation details.
- Communicate effectively and work in a cross-functional environment.
- Be eligible to access technology and software subject to U.S. export control laws; some applicants may require export license review.
Nice to have
- Experience or strong interest in AI-assisted development tools for test creation, automation, debugging, and engineering productivity.
Culture & Benefits
- Competitive compensation and benefits.
- Collaborative, transparent, and inclusive work environment.
- Access to tools and resources supporting professional growth and development.
- Exposure to advanced networking technologies, post-silicon validation, AI-assisted engineering workflows, automation frameworks, and validation laboratories.
Hiring process
- Interviews evaluate individual experience, reasoning, and communication in real time.
- AI tools, transcription apps, automated answer generators, and note-taking bots are not permitted during interviews.
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