Job Location : California,MO, USA
Join to apply for the Senior Software Engineer - Parallel Computing Systems role at NVIDIA
Senior Software Engineer - Parallel Computing SystemsJoin to apply for the Senior Software Engineer - Parallel Computing Systems role at NVIDIA
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Passionate About AI & Machine Learning - NVIDIADo you have expertise in CUDA kernel optimization, C++ systems programming, or compiler infrastructure? Join NVIDIA's nvFuser team to build the next-generation fusion compiler that automatically optimizes deep learning models for workloads scaling to thousands of GPUs! We're looking for engineers who excel at parallel programming and systems-level performance work and want to directly impact the future of AI compilation.The Deep Learning Frameworks Team @ NVIDIA is responsible for building nvFuser , an advanced compiler that sits at the intersection of compiler technology and high-performance computing. You'll work closely with the PyTorch Core team and collaborate with Lightning-AI/Thunder , which integrates nvFuser to accelerate PyTorch workloads. We collaborate with hardware architects, framework maintainers, and optimization experts to create compiler infrastructure that advances GPU performance, developing manual optimization techniques into systematic, automated compiler optimizations.What You'll Be DoingAs an nvFuser engineer, you'll work on exciting challenges in compiler technology and performance optimization! You'll design algorithms that generate highly optimized code from deep learning programs and build GPU-aware CPU runtime systems that coordinate kernel execution for maximum performance. Working directly with NVIDIA's hardware engineers, you'll master the latest GPU architectures while collaborating with optimization specialists to develop innovative techniques for emerging AI workloads. From debugging performance bottlenecks in thousand-GPU distributed systems to influencing next-generation hardware design, we push the boundaries of what's possible in AI compilation.What We Need To See
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