GPU Software Engineer – High-Performance Computing

About the role

Siemens EDA is seeking a GPU Software Engineer to join its Cairo team. You will accelerate compute‑intensive algorithms on GPUs, applying advanced parallel programming and performance‑optimization techniques to support cutting‑edge electronic design automation tools.

Key responsibilities

• Design, develop and optimise high‑performance GPU implementations for complex C/C++ algorithms.
• Create CUDA‑based solutions for compute‑intensive applications.
• Optimise kernels, memory access patterns and parallel execution to maximise GPU utilisation.
• Analyse and improve CPU/GPU interaction, data‑transfer efficiency and overall application performance.
• Develop GPU implementations for advanced signal‑processing and machine‑learning algorithms.
• Debug and profile GPU applications to identify and resolve performance bottlenecks.
• Collaborate with software teams to integrate GPU acceleration into production systems.

Required profile

• 2‑4 years of professional experience in GPU software development.
• B.Sc. or M.Sc. in Computer Engineering, Computer Science, Electronics Engineering or a related field.
• Hands‑on experience with CUDA and parallel programming.
• Strong C/C++ programming skills.
• Good understanding of GPU architecture, memory hierarchy and parallel execution models.
• Self‑motivated, able to work independently and communicate effectively.

Required skills

• CUDA
• C
• C++
• GPU programming
• Parallel programming
• Multi‑threaded software development
• Performance profiling and optimisation
• Debugging of high‑performance applications

What we offer

• Competitive basic salary and bonus scheme.
• Generous holiday allowance.
• Inclusive and diverse work environment.