Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience with software development in a programming language.
• 5 years of experience testing, and launching software products.
  
• 3 years of experience with software design and architecture.
• 3 years of experience building or leveraging machine learning solutions and developing applications utilizing AI frameworks and methods.
  
• 3 years of experience building and developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

Preferred qualifications:

• 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.
  
• Experience in performance engineering, including bench marking and developing analysis frameworks for the full AI/ML stack.
• Knowledge of storage infrastructure and AI/ML frameworks.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google

Responsibilities

• Manage AI/ML solutions, bench marking, performance investigation and storage optimizations, and client side products.
• Lead product design, develop and enhance AI/ML client libraries for storage.
• Work 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 knowledge in file systems, operating systems, performance engineering, and the evolving AI/ML landscape.