Staff Software Engineer, AI/ML

Google • Sunnyvale, CA

1d

About The Position

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. As a Staff Software Engineer, you will be a key player in helping our customers unlock the immense potential of AI. You will be at the forefront of a rapidly growing field, addressing exciting technical challenges and directly impacting the success of some of the world's most innovative organizations. This role offers tremendous opportunities for personal and professional growth as you deepen your expertise and contribute to AI solutions.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 3 years of experience with software design and architecture.
• Experience with Cloud compute platforms like Kubernetes, Cloud Functions.

Nice To Haves

• 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.

Responsibilities

• Build the infrastructure and automation that makes large-scale AI possible.
• Partner with TPU Software and Hardware team and help design, develop and validate TPU based systems for standalone deployment.
• Build and integrate Cloud Compute software to bootstrap TPU AI Infrastructure.
• Solve unique engineering challenges associated with managing both Google-networked and fully air-gapped hardware environments.
• Work with customers, triage, debug, and resolve system issues encountered during customer trial.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees