Intern assisting the CAE team with Python programming and data analysis for automotive testing. Involves GUI creation and machine learning tasks with potential occasional office meetings.
About the role
- C++ Developer with CUDA/GPU optimizing algorithms for telecommunications at Nokia. Focus on performance and low-level development in a collaborative environment.
Responsibilities
- Develop and optimize software for accelerating physical layer algorithms on CPU and GPU
- Collaborate to integrate CPU and GPU-accelerated components into our 5G and 6G network solutions
- Analyze and troubleshoot performance bottlenecks in CPU and 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 and 6G physical layer technologies as well as CPU and GPU computing advancements
Requirements
- CUDA programming and understanding of GPU architecture
- Extensive experience and proficiency in C++ / C programming languages
- Strong experience in low-level development with a strong focus on low-level optimizations and tensor optimization
- Experience in machine learning integrations
- Strong problem-solving skills and the ability to analyse and debug complex issues
- Experience with performance profiling and optimisation tools
- Experience in performance proofing, testing and debugging
- Fluency in English
- It would be nice if you also had:
- Familiarity with Python and/or machine learning frameworks and concepts
- Knowledge of operating system internals
- Parallel programming
- High Performance Computing
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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