Senior AI Infra Engineer - Scalable Cloud Platform

NVIDIA; Redmond (WA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks an AI infrastructure software engineer to design, build, and maintain platforms enabling large-scale AI training, inference, and GenAI workloads. You’ll shape infrastructure that powers DGX Cloud, collaborating across teams to improve reliability and performance.

The role emphasizes debugging across software and hardware, building scalable distributed systems, and contributing to a culture of learning, blameless postmortems, and iterative improvement. Equity and benefits are offered.

Qualifications

• 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 in analyzing and triaging AI applications from the application level to the hardware level.
• Proven track record in building and scaling large-scale distributed systems.
• Experience with AI training and inferencing and data infrastructure services.
• Familiar with Kubernetes and operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki).
• Proficiency in programming languages such as Golang, Python, C/C++, scripting languages
• Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential.

Responsibilities

• Develop platform and tools for large-scale AI, LLM, and GenAI infrastructure.
• Develop and optimize tools to improve AI/ML workload efficiency and resiliency.
• Root cause and 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.
• Skilled in problem-solving, root cause analysis, and optimization.

Skills

Distributed systems

Debugging

Collaboration

Problem solving

Communication

Education

Bachelor's degree or higher in CS or related field

Tools

Kubernetes

ELK stack

Prometheus

Loki

Golang

Python

C/C++

Scripting languages

Job description

NVIDIA seeks an AI infrastructure software engineer to design, build, and maintain platforms enabling large-scale AI training, inference, and GenAI workloads. You’ll shape infrastructure that powers DGX Cloud, collaborating across teams to improve reliability and performance.

The role emphasizes debugging across software and hardware, building scalable distributed systems, and contributing to a culture of learning, blameless postmortems, and iterative improvement. Equity and benefits are offered.