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 computer-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:
• You will also be eligible for equity and benefits
Apply tot his job
Apply To this Job
• 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 computer-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:
• You will also be eligible for equity and benefits
Apply tot his job
Apply To this Job