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/Open CL-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 correctness Required Skills & Qualifications: Proficiency in CUDA programming and GPU architecture optimization Experience with Open CL, 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 cu BLAS, cu FFT, or Thrust More 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.

📌 Gpu software engineer (Lecco)
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