In an increasingly connected world, the pandemic has highlighted just how essential telecom networks are to keeping society running. The Network Infrastructure group is at the heart of a revolution to connectivity, pushing the boundaries to deliver more and faster network capacity to people worldwide through our ambition, innovation, and technical expertise

Join Optical Networks division, where innovation meets scale in the AI-driven data center era. With the recent acquisition of Infinera, we’ve united two industry leaders to create an optical networking powerhouse—combining cutting-edge technology with proven leadership to redefine the future of connectivity.

Infinera is now part of the Nokia Corporation and its subsidiaries. When you apply, the information you share will be handled with care and used only for recruitment purposes within the group.

• Fresh PhD in Electrical Engineering or Materials Science with strong emphasis in optoelectronic devices
• 0-2+ years industry experience in InP based optoelectronic epitaxy and devices is strongly preferred
• Fundamental compound semiconductor epitaxy experience
• Strong understanding of device performance to epitaxy process and design
• Aptitude to data query, perform statistical analysis, and present data and ideas to a diverse audience
• Must be able to lead and drive projects whether individual or part of a team
• Solid communication skills and the ability to work effectively in a fast-paced team environment

Keep metrics for this position will be daily and weekly production moves targets. This position will require the ability to take device development roadmaps, convert them to actionable epi process development/improvement plans, and drive these plans to completion. For advanced development, the engineer must be able to identify longer term projects or key technologies necessary for future device needs.

The Engineer will also support production by analyzing and modeling device data and tying it back to epi processes to improve yields and performance. Must have experience and vision to automate analytic processes to streamline and tighten epi distributions. Ability to work in a close-knit collaborative team environment is a must.