Staff Software Engineer, AI/ML, Google Distributed Cloud, Storage

Job summary

MINIMUM QUALIFICATIONS: - Bachelor’s degree or equivalent practical experience. - 8 years of experience in software development. - 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Benefits

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience in systems architecture, including building or maintaining distributed systems or large-scale storage architectures.
• 5 years of experience in systems programming (e.g., C++, Go, or Rust).
• PREFERRED
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• ABOUT THE JOB
• Goo***'s software engineers develop the next-generation

Responsibilities

• Design and develop scalable, distributed File and Object storage solutions that serve as the critical foundational backbone for complex AI/ML workloads within the GDC environment.
• Engineer advanced solutions optimized for massive throughput, specifically enabling high-frequency model checkpointing and the ultra-low latency data access required for AI training and inference.
• Drive technical execution with external partners (e.g., VAST Data) to seamlessly integrate industry-leading, high-performance storage hardware with Goo***’s distributed software ecosystem.
• Take full life-cycle responsibility for core storage services, ensuring uncompromising security, data durability, and high availability across disconnected edge and on-premises data center environments.
• Partner closely with AI infrastructure, compute, and networking teams to architect system-wide improvements, eliminate Input/Output bottlenecks, and deliver a unified "cloud-anywhere" experience.
• Goo*** is proud to be an equal opportunity workplace and is an affirmative action employer.
• We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
• We also consider qualified applicants regardless of criminal histories, consistent with legal

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