This exciting start-up focuses on harnessing the potential of AI for the betterment of humanity. The design emphasizes scalability, ensuring adaptability to evolving needs.
Currently, they are in the process of creating the SPU (Spatial Processing Unit), an economical AI processor meticulously crafted from foundational principles to offer unparalleled performance per watt, empowering the advancement of next-generation AI workloads.
ML Compiler Engineer
Skills: • Expertise in Software Architecture • Proficient in Parallel Programming • Exceptional proficiency in C/C++ • Extensive experience with CUDA • Demonstrated proficiency in PyTorch with successful deployment of models • Experience in performance and memory optimization
Requirements: • A deep understanding of algorithms and numerical analysis • Familiarity with low-level software drivers and kernel operations • 4+ years of experience in software development for products and/or enterprise • Experience working on large and complex applications, with proficiency in code manipulation and optimization • Excellent problem-solving skills, with the ability to troubleshoot and resolve critical technical issues independently • Proficiency in code versioning tools such as Git, Mercurial, or SVN • Knowledge of frameworks like TensorFlow, PyTorch, or ONNX is not mandatory but would be beneficial.