Advanced GPU Solutions Developer

1 week ago

Chennai, Tamil Nadu, India beBeeExperience Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

**GPU Programming Engineer Role Summary:**

We are seeking an experienced GPU programming professional to join our team. In this role, you will focus on developing, optimizing, and deploying GPU-accelerated solutions for high-performance machine learning workloads.

The ideal candidate has strong expertise in GPU programming across one or more platforms (e.g., NVIDIA CUDA, AMD ROCm/HIP, or OpenCL) and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration.

Key Responsibilities:

  • Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL.
  • Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization.
  • Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs.
  • Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.

Required Qualifications:

  • Bachelor's or master's degree in computer science, Electrical Engineering, or a related field.
  • 3+ years of hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs.
  • Strong understanding of GPU architecture, memory hierarchy, and parallel programming models.
  • Proficiency in C/C++ and hands-on experience developing on Linux-based systems.
  • Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto.

Benefits:

  • Opportunity to work on cutting-edge GPU-accelerated projects.
  • Collaborative and dynamic work environment.

Note: This job description is not intended to be all-inclusive and additional responsibilities may be assigned as deemed necessary.

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