Senior High Performance Computing Specialist

2 days ago

Pune, Maharashtra, India beBeeGPUProgrammer Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

We are seeking an experienced GPU programmer to develop, optimize and deploy GPU-accelerated solutions for high-performance machine learning workloads.

Our 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.

  • 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

To be considered for this role, applicants must possess a bachelor's or master's degree in computer science, electrical engineering or a related field, along with 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 is also required.

Bonus qualifications include familiarity with cuDNN, TensorRT, OpenCL or other GPU computing libraries, exposure to AI/ML workloads, computer vision or video/image processing and experience with multi-GPU programming or heterogeneous computing environments.

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