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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.
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