
Senior AI Infrastructure Software Engineer β DGX Cloud
Posted Aug 7

Posted Aug 7
This is a fully remote position, open to applicants in California, +1 more state.
β’ Create platforms and tools for extensive AI, LLM, and GenAI infrastructure.
β’ Design and enhance tools to boost the efficiency and resilience of AI/ML workloads.
β’ Diagnose, analyze, and resolve failures from the application level to the hardware level.
β’ Improve the infrastructure and products that support NVIDIA's AI platforms.
β’ Collaborate in designing and implementing APIs for integration with NVIDIA's resiliency stacks on the platform.
β’ Establish meaningful and actionable reliability metrics to monitor and enhance system and service reliability.
β’ Construct and expand distributed systems and AI infrastructure services.
β’ Facilitate large-scale AI training, inference, fine-tuning, and Agentic AI in a production environment.
β’ A minimum of 8+ years of experience in developing software infrastructure for large-scale AI systems.
β’ A Bachelor's degree or higher in Computer Science or a related technical field, or equivalent experience.
β’ Strong debugging abilities and experience in analyzing and addressing AI applications from both application and hardware levels.
β’ A proven history of building and scaling large distributed systems.
β’ Experience in AI training, inference, and data infrastructure services.
β’ Familiarity with Kubernetes.
β’ Experience managing large-scale observability platforms for monitoring and logging, such as ELK, Prometheus, and Loki.
β’ Proficiency in Golang, Python, C/C++, and scripting languages.
β’ Excellent communication and collaboration skills.
β’ Experience working with large-scale AI clusters and cloud-native infrastructure.
β’ A strong understanding of NVIDIA GPUs and networking technologies including RDMA, IB, and NCCL.
β’ Knowledge of deep learning frameworks such as PyTorch, TensorFlow, JAX, Dynamo, and Ray.
β’ Experience performing root-cause analysis of failures at the datacenter scale.
β’ A solid background in software design and development.
β’ Equity.
β’ Comprehensive benefits.
β’ Support and mentorship.
β’ A culture of blameless postmortems, iterative improvement, and risk-taking.
β’ An inclusive work environment.
β’ An equal opportunity employer.
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