Job Description
About the Job • FuriosaAI is looking for passionate AI Software Engineers to join our Platform Team. You will participate in the research and development of models optimized for our NPU accelerator. • Our team builds the production-grade, streamlined AI software that makes up our SDK. This includes the runtime, LLM serving framework, and PyTorch models/extensions. • Your work on these critical parts of the SDK will directly enable AI developers to efficiently deploy optimized AI models on FuriosaAI NPUs. Responsibilities • Develop and optimize DNN model implementations in PyTorch for FuriosaAI's Tensor Contraction Processor (TCP) architecture • Analyze the features, implementations, CUDA and Triton kernels of existing AI model inference frameworks such as vLLM, TensorRT-LLM, and DeepSpeed-MII • Research and implement generative AI models, parallelism strategies, and inference techniques to improve performance and efficiency • Collaborate closely with the compiler team to optimize and enable models. Minimum Qualifications • BS degree in Computer Science, Engineering, or a related field, or equivalent industry experience • Proficiency in Python programming skill • Experience in developing AI models in DNN frameworks (e.g., PyTorch) • Solid understanding of machine learning, deep learning, natural language processing (NLP), and/or generative AI models • Strong communication skills with the ability to collaborate effectively across cross-functional teams Preferred Qualifications • Hands-on experience with PyTorch 2.0 technologies (e.g., TorchDynamo) or DNN compiler technologies, such as Triton and MLIR • Proficiency in C++/CUDA or Rust programming skills • Hands-on experience deploying and optimizing large-scale ML models in production • Hands-on experience in model training and fine-turning of pre-trained models • Experience in LLM inference frameworks: vLLM, TensorRT-LLM, and DeepSpeed-MII • Strong background in model quantizations and model evaluations • Strong background in machine learning, generative AI, and model evaluation techniques • Proven track record of contributing to open-source projects Contact • [email protected] Apply tot his job