Senior AI Infrastructure Software Engineer – DGX Cloud
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Job Description
Senior AI infrastructure engineer building NVIDIA DGX Cloud platforms for large-scale AI training, inferencing, and Agentic AI. Improving workload efficiency, resiliency, and reliability across production infrastructure.
Responsibilities:
- Develop platforms and tools for large-scale AI, LLM, and GenAI infrastructure
- Develop and optimize tools to improve AI/ML workload efficiency and resiliency
- Root-cause, analyze, and triage failures from the application level to the hardware level
- Enhance infrastructure and products underpinning NVIDIA's AI platforms
- Co-design and implement APIs for integration with NVIDIA's resiliency stacks on the platform
- Define meaningful and actionable reliability metrics to track and improve system and service reliability
- Build and scale distributed systems and AI infrastructure services
- Support large-scale AI training, inferencing, fine-tuning, and Agentic AI in production
Requirements:
- Minimum 8+ years of experience developing software infrastructure for large-scale AI systems
- Bachelor's degree or higher in Computer Science or a related technical field, or equivalent experience
- Strong debugging skills and experience analyzing and triaging AI applications from application level to hardware level
- Proven track record building and scaling large-scale distributed systems
- Experience with AI training and inferencing and data infrastructure services
- Familiarity with Kubernetes
- Experience operating large-scale observability platforms for monitoring and logging, such as ELK, Prometheus, and Loki
- Proficiency in Golang, Python, C/C++, and scripting languages
- Strong communication and collaboration skills
- Experience working with large-scale AI clusters and cloud-native infrastructure
- Strong understanding of NVIDIA GPUs and network technologies including RDMA, IB, and NCCL
- Understanding of deep learning frameworks including PyTorch, TensorFlow, JAX, Dynamo, and Ray
- Experience with root-cause analysis of failures at datacenter scale
- Strong background in software design and development
Benefits:
- Equity
- Benefits
- Support and mentorship
- Culture of blameless postmortems, iterative improvement, and risk-taking
- Inclusive work environment
- Equal opportunity employer
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