Role: GPU Software Engineer (Remote)Location: Remote (Work from Anywhere)Role Overview:We are hiring for one of our clients, seeking a GPU Programming Software Engineer to work on a Full-time basis. The role involves developing high-performance computing solutions leveraging GPU architectures for computational workloads. You will optimize parallel processing frameworks and implement GPU-accelerated algorithms for large-scale data processing.Key Responsibilities:
- Design and implement GPU-optimized software solutions for high-performance computing applications
- Develop and maintain CUDA/OpenCL-based kernels and libraries for parallel computation
- Profile and optimize existing codebases to improve GPU utilization and reduce latency
- Collaborate with cross-functional teams to integrate GPU acceleration into existing workflows
- Write unit tests and benchmarks to validate performance improvements and correctnessRequired Skills & Qualifications:
- Proficiency in CUDA programming and GPU architecture optimization
- Experience with OpenCL, HIP,



or other GPU computing frameworks
- Strong C/C++ programming skills with a focus on performance tuning
- Familiarity with parallel algorithms and data structures
- Knowledge of numerical computing libraries like cuBLAS, cuFFT, or ThrustMore About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable GPU solutions for industry-specific computational challenges. The position requires independent problem-solving and the ability to deliver high-performance code in a fast-paced environment.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!

📌 Gpu Software Engineer (Remote) (Torino)
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📍 Torino