High-Performance GPU Software Engineer
4 hours ago
We are an innovative company, BitOoda, at the forefront of high-performance computing (HPC) and AI. We build cutting-edge solutions powered by GPUs and specialized accelerators. Our team is looking for a highly skilled GPU Optimization Engineer.
Responsibilities:
Design, develop, and optimize high-performance software for GPU-accelerated systems.
Implement software that directly interacts with GPU hardware, including NVIDIA CUDA, AMD ROCm, or OpenCL.
Optimize existing ML/DL frameworks (e.g., PyTorch, TensorFlow) for maximum performance on NVIDIA and AMD GPUs.
Work with heterogeneous systems, integrating specialized accelerators like AMD GPUs or custom chips (e.g., SambaNova, Cerebras).
Conduct profiling and tuning to maximize GPU utilization, minimize bottlenecks, and achieve peak system performance.
Collaborate with hardware engineers to exploit features like NVLink, NVSwitch, and RDMA for seamless GPU interconnectivity.
Develop scalable compute pipelines and contribute to performance benchmarking.
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
5+ years in GPU-accelerated software development, HPC, or related domains.
Technical Skills:
Proficiency in CUDA for NVIDIA GPUs.
Experience with AMD ROCm, HIP, or OpenCL for AMD GPUs.
Frameworks: In-depth knowledge of PyTorch or TensorFlow with GPU optimization.
Languages: Proficient in Python, C++, and/or C for performance-critical applications.
Profiling & Optimization: Hands-on experience with GPU profilers such as NVIDIA Nsight, nvprof, and rocprof.
Ability to identify and mitigate bottlenecks in GPU pipelines.
System Knowledge: Strong understanding of bare-metal systems, GPU drivers, and OS-level configuration.
Experience with containerized GPU environments (NVIDIA Docker, AMD ROCm containers).
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