This job is no longer active. It was disabled the Jan. 24, 2020 by Nokia
Trainee/Thesis Worker, Real-time/L1 SW
more than one year ago
Posted:
more than one year ago
Nokia
Company:
Nokia
Espoo
Location:
Espoo
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.
Are you majoring in computer science, signal processing or machine learning? Are you interested in real-time software development and mobile communications?
Nokia’s Mobile Networks is offering career opportunities for Trainee / master thesis workers in Espoo. Topic for your thesis will be tailored based on your background and interests within our real-time application areas.
Together with us you will be implementing real-time solutions and advanced software development methods for Nokia’s 4G/5G/cloud base station products. You can apply and enhance your skills in agile software development, signal processing and machine learning.
You will be working with our DevOps software production systems and real-time signal processing solutions, especially radio interface and receiver algorithms (e.g. LTE/5G L1, beamforming) and creating real products for our customers. You understand the significance of good SW practices for high quality SW. Our responsibility area covers full chain of the embedded and real-time SW/DSP development cycle from early requirements analysis to final delivery to our operations and customers.
You know the benefits of agile SW development and Continuous Integration/Continuous Delivery practices. You will be creating the next generation baseband and RF System on Chip (SoC) solutions and work as a member of our highly specialized real time SW team. General interest on computer science, processor architectures and signal processing is appreciated. Experience on machine learning/artificial intelligence algorithms and implementation is also welcome. You are comfortable working with C/C++, Python, and have experience in Matlab and Linux environments. Background in automated testing and real-time systems will help you blend in.
Join us in building the future of mobile networks!