About the role
- 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
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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