
High Performance GPU Systems Developer
2 days ago
GPU Programmer
We are seeking an experienced programmer to develop, optimize and deploy GPU-accelerated solutions for high performance machine learning workloads.
The ideal candidate has strong expertise in 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
Requirements
- 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
Preferred Qualifications
- Familiarity with cuDNN, TensorRT, OpenCL or other GPU computing libraries
- Exposure to AI/ML workloads, computer vision or video/image processing
- Experience with multi-GPU programming or heterogeneous computing environments
- Knowledge of OpenACC, SYCL or other directive-based programming models is a plus
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