Senior Software Engineer, Storage AI​/ML

Google Seattle, WA, USA

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 5 years of experience with software development in one or more programming languages. Rust, Java, Python.
• 5 years of experience with developing large‑scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience with Storage infrastructure and AI/ML infra (e.g., Tensor Flow), artificial intelligence, deep learning, inference frameworks, training frameworks.

• Master’s degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.

• Review code developed by other developers and provide feedback to ensure best practices such as style guidelines, code quality, testability, and efficiency.
• Senior SWE in the Tessellation team with a focus on AI/ML storage solutions: client‑side distributed caching, benchmarking, performance investigation and storage optimizations.
• Lead feature design, develop and tune benchmarks for GCP Storage systems to make GCP Storage the best for AI/ML workloads.
• Work closely with various teams across GCP, including core GCS, File Solutions, GKE, Cloud ML Compute Services (CMCS), and Networking to drive storage innovation for AI/ML.
• Build deep technical expertise in file systems, operating systems, performance engineering, and the rapidly evolving AI/ML landscape.

Google’s software engineers develop next‑generation technologies that handle massive scale and go beyond web search. This role focuses on the Storage AI/ML Solutions team, optimizing Cloud Storage for cutting‑edge AI/ML workloads at planet‑scale, collaborating closely with internal teams and the open‑source community.

Compensation: US: $174,000 - $253,000 (USD) + 15% bonus target + bonus + equity + benefits.

Google is a proud equal‑opportunity and affirmative‑action employer. We are committed to diversity, belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. Please see Google’s EEO policy and related resources for more information.

English proficiency is a requirement for all roles unless otherwise stated.

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