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7 дней назад

Validation Engineering Intern (High-Speed Networking)

26 - 29CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Validation Engineering Intern (High-Speed Networking): Developing data acquisition suites, measurement analysis systems, and software and hardware for validating high-speed optical networking prototypes with an accent on Python automation, RF measurements, and device compliance testing. Focus on automating R&D laboratory equipment, debugging high-speed digital systems above 10 Gbps, and designing utilities for IC verification and characterization.

Location: Ottawa, Ontario, Canada

Salary: $26–$28.50 CAD per hour

Company

hirify.global develops high-performance optical networking and analog semiconductor platforms for hyperscale data centers, enterprise networks, wireless infrastructure, and passive optical networks.

What you will do

  • Develop data acquisition suites for characterizing R&D prototypes.
  • Create measurement analysis techniques and systems to verify device compliance with specifications.
  • Develop software and hardware for prototype measurements.
  • Design utilities that support IC verification, characterization, and engineering productivity.
  • Collaborate with local and remote product development, validation, and design teams.

Requirements

  • Python programming and experience automating R&D laboratory equipment.
  • Hardware and software debugging skills.
  • RF and high-speed digital measurement and debugging experience above 10 Gbps.
  • Knowledge of optical and high-speed test equipment.
  • Strong communication, organization, teamwork, leadership, and self-management skills.
  • Available to start a 12–16-month internship in May 2027 in Ottawa.

Culture & Benefits

  • Direct involvement in product development as an integral member of the Validation group.
  • Opportunities to learn from Validation and Design teams.
  • Progressively more complex assignments as technical knowledge develops.
  • Competitive compensation with pay-for-performance recognition.

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