Engineering Manager, AI/ML Infrastructure

This role is based in Seattle, WA.

Compensation:

$197,000-$291,000/year + bonus + equity + benefits

Responsibilities:

• Manage a team of Artificial Intelligence and Machine Learning (AI/ML) infrastructure engineers, overseeing a product roadmap and identifying opportunities for organizational growth.
• Architect and scale foundational AI/ML infrastructure within Google Cloud by developing new accelerator-based Virtual Machine (VM) families and supporting bare-metal GPU instances.
• Lead the engineering team responsible for monitoring and maintaining the health of GPU instances during data center deployment and customer delivery phases.
• Automate the management and life-cycle handling of GPU hardware by developing sophisticated tools, services, and AI-driven solutions to eliminate manual operational tasks.
• Engage and work closely with core customers as they explore and onboard our infrastructure.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in cloud computing emerging technologies or related technical fields.
• 3 years of experience in a technical leadership role.
• 3 years of experience with AI Platforms.
• 2 years of experience in a people management or team leadership role.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 3 years of experience working in a matrixed organization.