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2 days ago
We are seeking an experienced software engineer to lead the development of inference systems, drive their optimization and scaling, and build scalable platforms for serving large language models.
This is an exciting opportunity to work on a dynamic team dedicated to revolutionizing cloud computing and AI. As a key member, you will design and implement distributed inference platforms, optimize runtime and infrastructure layers of the inference stack, and contribute to open-source inference engines.
Key responsibilities include designing and implementing distributed inference platforms for serving large language models, optimizing runtime and infrastructure layers of the inference stack for best model performance, building native cross-platform inference support across NVIDIA and AMD GPUs, and contributing to open source inference engines to make them perform better on cloud platforms.
Required skills include experience with distributed systems, Kubernetes, gRPC, Go, Python, and GPU programming using CUDA and ROCm. A bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field is also required.
In addition to technical expertise, we value candidates who are passionate about innovation, collaboration, and continuous learning. If you're a motivated individual with a strong desire to shape the future of cloud computing and AI, we encourage you to apply.
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