Software Development Engineer (AI/ML)

TL;DR

Software Development Engineer (AI/ML): Designing and building cloud-based repair and recovery workflows for NVIDIA GB200/GB300 UltraServers with an accent on system architecture and AWS native services. Focus on automating diagnostic triage, managing GPU cluster network partitions, and ensuring high availability of AI/ML infrastructure.

Location: USA, WA, Seattle

Salary: $143,700–$194,400

Company

A global leader in cloud computing and AI infrastructure providing scalable compute capacity via hirify.global EC2.

What you will do

• Design and architect cross-functional solutions for Capacity Management, Hardware Engineering, and Datacenter Operations.
• Build cloud-based repair and recovery workflows using AWS native services for scaling infrastructure.
• Implement automation for diagnostic triage, hardware testing, and cable validation processes.
• Manage network partition configurations and firmware validation for multi-node GPU clusters.
• Develop observable systems with appropriate metrics and alarming to monitor UltraServer workflows.
• Collaborate with stakeholders to convert business requirements into technical designs.

Requirements

• 3+ years of non-internship professional software development experience.
• 2+ years of experience in design or architecture of new and existing systems (reliability and scaling).
• Proficiency in at least one software programming language.
• Must be based in or able to work from Seattle, WA.

Nice to have

• 3+ years of full SDLC experience, including coding standards, code reviews, and CI/CD.
• Bachelor's degree in Computer Science or an equivalent qualification.
• Deep knowledge of professional software engineering best practices and operational excellence.

Culture & Benefits

• Comprehensive health insurance including medical, dental, vision, and prescription coverage.
• 401(k) matching program.
• Paid time off and parental leave.
• Inclusive environment with dedicated workplace accommodation and adjustment support.
• Opportunity to work on cutting-edge NVIDIA-based ML infrastructure at scale.