AS PART OF OUR TEAM, YOU WILL:
Develop and optimize CUDA kernels for accelerating physical layer algorithms on GPU
Collaborate with experienced engineers to integrate GPU-accelerated components into our 5G network solutions
Analyze and troubleshoot performance bottlenecks in GPU-based implementations
Contribute to the design and implementation of high-performance computing solutions for telecommunications
Document code, processes, and performance benchmarks for knowledge sharing and future reference
Engage in continuous learning about 5G physical layer technologies and GPU computing advancements
QUALIFICATIONS:
Active student status
Good English (written and spoken)
Programming skills in C/C++
Basics of CUDA programming and understanding of GPU architecture
It would be nice if you also had:
Understanding of parallel computing concepts
Knowledge of 5G networks, particularly the physical layer
Experience in managing project timelines and deliverables
Awareness of GPU programming techniques
Familiarity with version control systems like Git
WHAT WE OFFER:
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:
One of the World’s Most Ethical Companies by Ethisphere
Gender-Equality Index by Bloomberg
Workplace Pride Global Benchmark
