Senior DGX Cloud AI Infrastructure Software Engineer
$184k - $357k • Remote • US, CA, Santa Clara
Posted 20d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Infrastructure Engineer
About the job
Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on developing tools for optimizing efficiency and resiliency of AI workloads, including pre-training, post-training, and inference. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. As a senior DGX Cloud AI Infrastructure software engineer, you will have the opportunity to work on innovative technologies that power the future of AI and data science and be part of a dynamic, diverse, and supportive team that values learning and growth.
Responsibilities
- Develop infrastructure software and tools for large-scale AI training and inference.
- Develop and optimize tools and libraries to improve infrastructure efficiency and resiliency.
- Co-design and implement APIs for integration with NVIDIA's resiliency stacks.
- Enhance infrastructure and products underpinning NVIDIA's AI platforms.
- Define and track reliability metrics to improve system and service reliability.
- Perform root cause analysis and triage failures from application to hardware levels.
Requirements
- Minimum of 8+ years of experience in 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 in analyzing and triaging AI applications from application to hardware level.
- Experience with observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki).
- Proven track record in building and scaling large-scale distributed systems.
- Experience with AI training and inferencing infrastructure services.
- Proficiency in programming languages such as Python, C/C++, and script languages.
- Experience with quality software engineering practices, including test development, defensive programming, version control, and CI.
- Excellent communication and collaboration skills.
Benefits
- Equity
- Benefits