Senior GPU Cluster Software Engineer
20 hours ago
We are seeking a highly skilled Senior GPU Cluster Software Engineer to join our System Software team at NVIDIA. As a member of this team, you will be responsible for designing, developing, and deploying large-scale distributed systems infrastructure with monitoring, logging, visualization, and alerting capabilities.
Key Responsibilities:- Design and implement large-scale distributed systems infrastructure with monitoring, logging, visualization, and alerting capabilities.
- Develop internal profiling tools for real-world ML/DL applications running on HPC GPU clusters for failure and efficiency analysis.
- Collaborate with various application owners and research teams to add/improve profiling needs for current and potential future supported features.
- BS+ in Computer Science or related field (or equivalent experience) and 5+ years of software development experience in Python.
- Experience with Gitlab (or another source code management) branch/release, CI/CD pipeline, etc.
- Solid understanding of algorithms, data structures, and runtime/space complexity.
- Experience working with distributed system software architecture.
- Basic understanding of HPC GPU cluster, Slurm.
- Basic understanding of Machine learning concepts and terminologies.
- Background with databases - SQL and NoSQL (Prometheus, Elasticsearch, OpenSearch, Redis, etc.).
- Experience with distributed Data Pipeline, Telemetry, Visualizations (Kibana, Grafana, etc.), Alerting (PagerDuty, etc.).
- Experience debugging functional and performance issues in HPC GPU clusters.
- Background in running and instrumenting distributed LLM training on a multi-GPU HPC cluster.
- Knowledge of LLM training features and libraries - Checkpointing, Parallelism, PyTorch, Megatron-LM, NCCL.
- Experience with HPC schedulers such as Slurm.
- Background with OpenTelemetry.
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