Senior DGX Cloud AI Infrastructure Software Engineer

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

The base salary range for this position is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. Additionally, you will be eligible for equity and benefits.

Pay

NVIDIA offers competitive compensation packages, with the base salary range mentioned above. Please note that the actual salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

Details regarding the schedule are not specified in the job posting.

Skills

Experience with programming languages such as Python, C/C++, script languages, and proficiency in quality software engineering practices, including test development, defensive programming, version control, and CI are required.

Benefits

Details regarding the benefits package are not specified in the job posting.

Contact Information

If you are interested in applying for this position, please visit the NVIDIA careers page at [insert link here] before April 6, 2026.