Staff AI/ML Systems Engineer — Distributed Storage

Google; Kirkland (WA); On-site; USD 207,000 - 301,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Retirement Benefits: 401(k) with company match

20 days of vacation per year

Maternity Leave: 28-30 weeks

Paid Time Off and sick leave

13 paid holidays per year

Job summary

Google in Kirkland, WA is hiring a Staff Software Engineer specializing in AI/ML for distributed cloud storage. This role focuses on designing scalable and secure storage solutions that support advanced AI workloads. Candidates should have a Bachelor’s degree and significant experience in software development, machine learning, and systems programming.

Compensation ranges from $207,000 to $301,000, including benefits such as health insurance, 401(k) matching, and generous paid time off. Join Google to innovate the future of AI and machine learning.

Qualifications

• 8 years of experience in software development.
• 5 years of experience with ML design and ML infrastructure.
• 5 years of experience in systems programming.

Responsibilities

• Design and develop scalable storage solutions for AI/ML workloads.
• Engineer solutions for high-frequency model checkpointing.
• Drive technical execution with external partners for high-performance storage.

Skills

Software Development

Machine Learning Design

Systems Architecture

Systems Programming (C++, Go, Rust)

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in relevant field

Job description

Google in Kirkland, WA is hiring a Staff Software Engineer specializing in AI/ML for distributed cloud storage. This role focuses on designing scalable and secure storage solutions that support advanced AI workloads. Candidates should have a Bachelor’s degree and significant experience in software development, machine learning, and systems programming.

Compensation ranges from $207,000 to $301,000, including benefits such as health insurance, 401(k) matching, and generous paid time off. Join Google to innovate the future of AI and machine learning.