Senior AI Infrastructure Engineer – DGX Cloud

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, deploy, and manage internal tools for extensive AI training and inferencing platforms utilizing cloud infrastructure.

• Perform performance characterization and analysis on large multi-GPU and multi-node clusters.

• Enhance the entire service lifecycle from conception and design to deployment, operation, and continuous improvement.

• Provide support for services prior to launch through system design consulting, software tools, platforms, frameworks, capacity management, and launch reviews.

• Assess and monitor the availability, latency, and overall health of live services.

• Sustainably scale systems through automation while enhancing reliability and velocity.

• Implement sustainable incident response practices and conduct blameless postmortems.

• Engage in an on-call rotation to support production systems.

⛳️ Requirements

• Bachelor's degree in Computer Science or a related technical field with coding experience (such as physics or mathematics), or equivalent professional experience.

• Over 5 years of relevant work experience.

• Proven ability to balance project initiation, collaboration, and stakeholder engagement.

• Experience in infrastructure automation and distributed systems architecture for large-scale private or public cloud platforms in a production environment.

• Proficiency in programming languages such as Python, Go, C/C++, or Java.

• In-depth knowledge of Linux, Networking, Storage, and Container Technologies.

• Familiarity with Public Cloud and Infrastructure as Code (IAAC) practices, including Terraform.

• Experience in distributed systems.

• Interest in designing, analyzing, and troubleshooting large-scale distributed systems.

• Systematic approach to problem-solving, excellent communication skills, ownership, and motivation.

• Ability to identify issues, enhance code performance, and automate repetitive tasks.

• Experience managing or operating large private and public cloud systems based on Kubernetes or Slurm.

🏝️ Benefits

• Equity.

• Comprehensive benefits package.

• Support and mentorship aimed at fostering learning and professional growth.