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CUDA Developer (AI/LLM & GPU Optimization)

2 weeks, 6 days ago
Brazil, Colombia, Bangladesh, India, Indonesia, Vietnam, Ghana, Egypt, Turkey, Pakistan, Kenya, Nigeria
Contract
Senior
AI Research Scientist
Software Development
C++ NumPy Python PyTorch
Apply Now
Gramian Consultancy Group

Gramian Consultancy Group

Professional Services
View All Jobs 27

Description

  • Solve advanced CUDA and GPU programming problems involving parallel computing and performance optimization.
  • Review, evaluate, and improve AI-generated CUDA, C++, and Python code.
  • Optimize GPU kernels for throughput, latency, memory efficiency, and resource utilization.
  • Work with CUDA libraries and frameworks such as Thrust, cuBLAS, and cuDNN.
  • Debug and resolve issues related to CUDA kernels, synchronization, and memory management.
  • Develop technical prompts, solutions, explanations, and evaluations for AI model training.
  • Collaborate with AI researchers, engineers, and evaluation teams.
  • Stay current on CUDA, GPU architectures, and performance optimization techniques.

Requirements

  • 5+ years of professional software development experience with a strong focus on CUDA development.
  • Strong proficiency in C/C++.
  • Strong hands-on experience with Python and scientific computing ecosystems.
  • Experience working with PyTorch and NumPy.
  • Experience with CUDA 12.3 or newer.
  • Strong understanding of GPU programming, parallel computing, and performance optimization.
  • Experience optimizing workloads for high-performance execution and efficient resource utilization.
  • Experience with CUDA libraries such as Thrust, cuBLAS, and cuDNN.

Benefits

  • 3-month contract engagement.
  • 40 hours per week with 4 hours/day overlap with PST.
  • 100% remote work.
  • Open to candidates in Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, and Vietnam.
  • Contract, time-and-material model.

Interested in this position?

Apply directly on the company website

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