Job Description
What You Will Be Doing
Taking part in the development of the NVIDIA's AI platform for training, fine-tuning and serving latest and greatest AI models with the best performance and efficiency.
Designing and building solutions for scheduling large scale AI training and inference workloads on GPU clusters over many cloud infrastructure.
Exploring and finding solution for open problems like industry-scale resource management, GPU scheduling, performance prediction, and live workload migration.
Work with and contribute to adjacent teams like TensorRT/Dynamo inference engine, ML compiler, KAI/Grove scheduler, Lepton cloud etc.
What We Need To See
Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, relevant technical field.
5+ years of experience.
Experience building large scale systems from scratch. Prior experience in container-based deployment systems like Kubernetes is beneficial.
Taking part in the development of the NVIDIA's AI platform for training, fine-tuning and serving latest and greatest AI models with the best performance and efficiency.
Designing and building solutions for scheduling large scale AI training and inference workloads on GPU clusters over many cloud infrastructure.
Exploring and finding solution for open problems like industry-scale resource management, GPU scheduling, performance prediction, and live workload migration.
Work with and contribute to adjacent teams like TensorRT/Dynamo inference engine, ML compiler, KAI/Grove scheduler, Lepton cloud etc.
What We Need To See
Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, relevant technical field.
5+ years of experience.
Experience building large scale systems from scratch. Prior experience in container-based deployment systems like Kubernetes is beneficial.