Senior DGX Cloud AI Infrastructure Software Engineer
NVIDIA · Santa Clara, CA · 1 wk ago
EngineeringFull-time
Responsibilities
- Develop infrastructure software and tools for large-scale pre-training, post-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 meaningful and actionable reliability metrics to track and improve system and service reliability.
- Skilled in problem-solving, root cause analysis, and optimization.
- Root cause and analyze and triage failures from the application level to the hardware level.
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 the application level to the 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++, script languages.
- Experience in quality software engineering practices, including test development, defensive programming, version control, and CI.
- Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential.
Qualifications
- Background in working with the large scale clusters.
- Experience in defining and building observability and telemetry software stack.
- Experience with RDMA software stack (NCCL, IB verbs, ucx, libfabrics).
- Experience and root cause analysis of failures and datacenter scale.
- Good understanding on DL frameworks internal (PyTorch, TensorFlow, JAX, and Ray).
Benefits
NVIDIA offers competitive compensation packages, including base salary ranging from $184,000 - $287,500 for Level 4 and $224,000 - $356,500 for Level 5, along with equity and benefits.
Pay
The base salary range is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.
Schedule
Applications for this job will be accepted at least until April 6, 2026.