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 correctness

Required 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 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.

Apply Now!

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