Architect, SoC/IP

Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things. Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect.
We’re looking for experienced technical
experts for SoC architecture domain, including hardware, software and system
topics. You’ll be working with latest FPGA and SoC based technologies for 5G
base stations and leading specification and modelling work within baseband and
massive MIMO area.

Focus area could be one of the following sub-domains:

- System
design and feature analysis for the whole chip-set solution for basebanп processing area.

- Creating
SoC hardware architecture for baseband and massive MIMO processing.

- Partitioning
and dimensioning of 5G physical layer processing, including specifying and modeling the signal processing data path and analyzing options for
hardware/software split.

A strong background in architecture and specification work related to FPGA/ASIC/SoC, and signal processing systems development.
Preferably solid skills in embedded C programming and scripting (Ruby, Python or similar).
Excellent understanding of FPGA and ASIC development flows.
General understanding of Matlab and physical layer simulations.
General understanding of programmable processing architectures, such as RISC and DSP processors
Excellent understanding of IP and subsystem based SoC development.
Excellent understanding of operating systems and agile software development.

7+ years of background from the development of ASIC/FPGA hardware and wireless/telecom systems.
Experience with analytical architecture exploration and validation, based on static or dynamic modeling techniques.
Experience from platform-based development with asset reuse and feature-driven development.

MSc in engineering or computer science.

Fluent verbal communication and writing skills in the English language.