Software Engineer, AI Systems

Innovating in AI systems technologies, the full-time Software Engineer, AI Systems will develop libraries and GPU kernel technologies to enhance AI inference, collaborating with engineers in a remote or onsite environment. Key responsibilities: Developing new AI systems technologies for efficient inference Designing and optimizing kernels for high-impact AI workloads Building extensible abstractions for LLM serving engines and contributing to open source communities Required qualifications: Master's degree in Computer Science, Electrical Engineering, or related field (PhD preferred) 2+ years of experience in ML/DL systems development Strong experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) Proficiency in Python and C/C++ programming Experience in GPU kernel development and performance optimizations using CUDA C/C++