Accelerate Machine Learning Workloads with Expertise in GPU Programming

3 days ago

Madurai, Tamil Nadu, India beBeeDeveloper Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

GPU Accelerated Solutions Engineer

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This is an exciting opportunity to develop, optimize and deploy 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.

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  • 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.">
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Key Skills and Qualifications:

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  • 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.">
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About This Role:

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This role offers a challenging and rewarding opportunity to work with cutting-edge technologies and contribute to the development of innovative GPU-accelerated solutions. If you are passionate about GPU programming and want to make a meaningful impact, we encourage you to apply.

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Benefits:

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  • Frequent opportunities for professional growth and development.">
  • A collaborative and dynamic work environment.">
  • A competitive salary and benefits package.">
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We Are Looking For:

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Candidates who possess a strong foundation in GPU programming and are eager to tackle complex challenges. If you have a passion for innovation and a desire to push the boundaries of what is possible with GPU technology, we want to hear from you.

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