As a pivotal member of Nokia's DSP Algorithm Team, you will spearhead the development of advanced Coherent DSP and algorithms and implementation, driving fiber optic communication systems beyond 800 Gbps. You’ll analyze system link performance and collaborate closely with ASIC teams to translate innovative algorithms into practical modem implementations. Our dynamic and collaborative environment is fueled by cross-functional teamwork that fosters creativity and effective problem-solving. You'll engage with diverse experts, contributing to projects that directly enhance global network efficiency and data integrity. Each team member’s insights are valued, making your work integral to shaping the future of optical networking in a supportive and fast-paced atmosphere.NION2026 Develop and fine-tune Coherent DSP algorithms for fiber optic systems surpassing 800 Gbps.Evaluate system link performance via simulations and hands-on assessments in optical transport.Collaborate with ASIC teams to implement DSP algorithms in coherent modem designs.Analyze and interpret industry standards for cutting-edge lineside technology (OIF and OpenROADM).Drive firmware initiatives for channel acquisition and DSP performance optimization.Engage cross-functional teams for seamless integration and deployment of DSP solutions.Continuously assess algorithm performance, collaboratively communicating findings with interdisciplinary teams. You have:Master's or Ph.D. in Electrical Engineering, Computer Engineering, or a related fieldProficiency in MATLAB and C programming languagesUnderstanding of application-specific integrated circuit (ASIC) and field-programmable gate array (FPGA) design principlesPrior practical experience with digital signal processing, including control loops and digital equalizationStrong problem-solving skills and ability to work independentlyEffective communication skills It would be nice if you also had:Laboratory experience with real-time optical systemsKnowledge of RTL/VerilogFamiliarity with concepts in error correction codes and information theory