Optical DSP Intern (Masters/PhD)

Requirements

• Knowledge of optical system components including DAC/ADC, amplifiers, IIR/FIR filters, equalizers, feedback loops, lasers, modulators, optical hybrids, and fiber systems
• Pay Range: The pay range for this position is $27.00-43.00/hour
• In addition to competitive compensation, Ciena offers students access to the Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation pay as required by applicable laws.
• 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.

Benefits

Additional Information

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. Ciena is advancing high-speed optical networking through innovative signal processing technologies, enabling next-generation connectivity and network performance. This internship role contributes to the design and development of high-speed optical modem solutions within a collaborative engineering environment. The position provides exposure to real-world product development and advanced optical communication systems. How you will make an impact: Design simulation models for high-speed optical modem systems Execute simulations and document technical results Develop signal processing functions using Matlab and C++ models Analyze system performance and identify opportunities for optimization Collaborate with cross-functional engineering teams to review designs Contribute design feedback and propose improvements to development processes Apply digital signal processing methods to solve complex communication challenges The must haves: Education: Master's degree in Electrical/Computer Engineering OR Bachelor's degree in Electrical/Computer Engineering Working toward a Master's or post-graduate degree with a focus on digital signal processing Application of engineering mathematics including linear algebra, FFT/IFFT, Laplace transform, Z-transform, signal analysis, probability, and statistics Programming using Matlab, Python, and C or C++ Application of debugging and problem-solving techniques in engineering contexts Ability to operate both independently and within multidisciplinary teams Communication of technical concepts across varied audiences

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