Senior Deep Learning Algorithm Engineer

Job Description: • Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing • Contribute and advance open source NeMo-RL , Megatron Core , NeMo Framework • Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment. • Work at the intersection of compter-architecture, libraries, frameworks, AI applications and the entire software stack. • Innovate and improve model architectures, distributed training algorithms, and model parallel paradigms. • Performance tuning and optimizations, model training and finetuning with mixed precision recipes on next-gen NVIDIA GPU architectures. • Research, prototype, and develop robust and scalable AI tools and pipelines. Requirements: • MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields. • 5+ years of industry experience. • Experience with AI Frameworks (e.g. PyTorch, JAX, Ray), and/or inference and deployment environments (e.g. TRTLLM, vLLM, SGLang). • Proficient in Python programming, software design, debugging, performance analysis, test design and documentation. • Consistent record of working effectively across multiple engineering initiatives and improving AI libraries with new innovations. • Strong understanding of AI/Deep-Learning fundamentals and their practical applications. Benefits: • equity • benefits Apply tot his job Apply To this Job