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GPU Software Engineer (Remote)

United Kingdom
$60 – $85/hr
Posted about 23 hours ago
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Role: GPU Software Engineer (Remote)

Location: Remote (Work from Anywhere)
Job Type: Contract
Payout: $60 - $85/hour

Role Overview:

We are hiring for one of our clients, seeking a GPU Programming Software Engineer to work on a contract 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

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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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

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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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Skills

Cuda
Gpu Architecture Optimization
Opencl
Hip
C++
Parallel Algorithms
Cublas
Cufft
Thrust
Performance Tuning

Location

United Kingdom

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