GPU Software Engineer (Remote)

Hire Feed; South Africa; Remote; ZAR 600.000 - 900.000; Vollzeit

Zusammenfassung

Hire Feed is seeking a GPU Programming Software Engineer to join a client project on a full-time basis. You will develop high-performance computing solutions leveraging GPU architectures and optimize GPU-accelerated workloads.

You will design CUDA/OpenCL kernels, optimize parallel code, and collaborate with cross-functional teams to deliver scalable GPU solutions for large-scale data processing. Strong C/C++ skills and a deep understanding of GPU libraries are essential.

Qualifikationen

• Proficiency in CUDA programming and GPU optimization.
• Experience with OpenCL, HIP or other GPU frameworks.
• Strong C/C++ programming skills focused on performance.
• Familiarity with parallel algorithms and data structures.
• Knowledge of cuBLAS, cuFFT, or Thrust libraries.

Aufgaben

• Design GPU-optimized software for HPC applications.
• Develop CUDA/OpenCL kernels and libraries.
• Profile and optimize code to improve GPU utilization and latency.
• Collaborate with teams to integrate GPU acceleration.
• Write unit tests and benchmarks to validate performance.

Kenntnisse

CUDA programming

C/C++ programming

parallel algorithms

GPU architecture optimization

Tools

OpenCL

HIP

cuBLAS

cuFFT

Thrust

Jobbeschreibung

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.