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Ciena

Photonic Hardware Engineer (NEW GRAD)

Reposted 4 Days Ago
Be an Early Applicant
In-Office
Ottawa, ON
Internship
In-Office
Ottawa, ON
Internship
The position involves lab testing, contributing to circuit pack development, and lifecycle management of photonic hardware products.
The summary above was generated by AI

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.

Position Overview:

Ciena's customers run many of the largest data communications and telecommunications networks in the world, connecting hundreds of millions of users and devices. The Photonic Hardware team is responsible for the entire lifecycle of hardware for Ciena’s Photonic Line systems from design, development, product introduction, and continual lifecycle management (LCM). Technologies of focus include Erbium-doped fiber amplifiers, Raman amplifiers, ROADMs, Wavelength-Selective Switches, Optical Channel Monitors, OTDR, etc.

Responsibilities of this position include lab testing and automation, contributing to the development of circuit packs from early design to product release, and helping manage the life cycle of these products.

As this role requires physical laboratory access, this position is on-site and based in Ottawa, Canada.

Requirements:

  • Bachelors, Masters, or Ph.D. in engineering or a similar technical discipline (e.g. Physics, CS, etc.)
  • Strong analytical and problem-solving skills
  • Solid programming skills in Python and numpy
  • Motivated self-starter with strong written and oral communications skills
  • Able to collaborate effectively in person as well as remotely

Assets:

  • Experience with lab test automation in Python or MATLAB
  • Experience programming in MATLAB
  • Background or experience in optical or electronic hardware design and/or troubleshooting
  • Knowledge of optical physics and/or optical networking
  • Experience with web-based software applications and REST APIs
  • Experience with any of the following:
    • Pandas
    • Apache Airflow and Spark
    • SQL or other databases
    • OpenSearch / Elasticsearch
    • Jenkins

Pay Range

Bachelors/Masters: The annual pay range for this position is $68,800 - $98,800

PHD: The annual pay range for this position is $74,200 - $118,600

Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available.

Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena offers a comprehensive benefits package, including medical, dental, and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation time. We also comply with all applicable laws regarding Paid Family Leave and other leaves of absence.

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At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard.  Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.

Ciena is an Equal Opportunity Employer, including disability and protected veteran status.

If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

Top Skills

Apache Airflow
Elasticsearch
Jenkins
Matlab
Numpy
Opensearch
Pandas
Python
Rest Apis
Spark
SQL

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