1 час назад
Test Engineer (Networking)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Test Engineer (Networking) (AI infrastructure and network testing): Testing AI infrastructure products and solutions across platform, functional, feature, solution, and regression testing with an accent on manual testing, test automation, and network operating systems. Focus on designing testbeds, qualifying software releases, debugging complex hardware and software networking issues, and preventing recurring defects through automated test scripts.
Location: Santa Clara, California, United States
Company
builds foundational hardware and software technologies for large-scale AI infrastructure, spanning silicon, systems, network operations, and cloud development.
What you will do
- Test products and solutions across platform, functional, feature, solution, and regression testing.
- Perform manual testing and build or enhance test automation with scripting.
- Design and maintain testbeds, qualify software releases, and deliver quality metrics.
- Support customer-specific testing efforts during proofs of concept.
- Collaborate with software, hardware, and support engineering teams to reproduce faults and update test scripts to prevent recurring bugs.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
- At least 5 years of relevant industry experience in testing, QA, or solutions testing, with hands-on testing experience.
- Strong knowledge of networking technologies, protocols, network designs, deployments, and network operating systems including IOS, IOS-XR, EOS, and Junos.
- Hands-on experience with traffic generators and network test hardware and software solutions.
- Ability to write test plans and debug complex hardware and software networking issues.
- Strong written and verbal communication skills.
Nice to have
- Experience with SONiC or another open-source operating system.
- Proficiency in Python, C or C++, Ansible, or AI development tools such as Gemini, Copilot, or Augment.
- Familiarity with Docker and SQL or NoSQL databases.
Culture & Benefits
- Collaborative startup environment with a focus on creativity, initiative, and problem-solving.
- Opportunity to collaborate with and learn from experienced engineers.
- Work on mission-critical projects at the forefront of computer systems and AI infrastructure.
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