Software Engineer, AI/ML Infrastructure, TILES

Google • Sunnyvale, CA

2d

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.

The TILES (Tor Infrastructure Lifecycle Engineering and Scheduling) team's
mission is to deliver scalable, on-time server-to-fabric connectivity, robust
capacity management and cross fabric network aware scheduling.

The US base salary range for this full-time position is $147,000-$211,000 +
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 [https://careers.google.com/benefits/].

Requirements

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++.

Nice To Haves

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with distributed computing.
• 2 years of experience with data structures.
• 2 years of experience with SQL.
• 1 years of experience with data center networking.

Responsibilities

• Develop and maintain critical software services that orchestrate the network for Google's next-generation hardware and AI/ML platforms.
• Contribute to the design and implementation of scalable network models for machines, racks, and ToR-to-fabric topologies using technologies like Unified Network Model (UNM) and Model X.
• Build automation to streamline network capacity provisioning and enhance resource efficiency across Google's data centers. Enhance the reliability and operational excellence of the ToR infrastructure, ensuring seamless network performance for all Google services.
• Partner with teams across Cloud to deliver end-to-end networking solutions for NPIs enabling AI/ML infrastructure.
• Drive or contribute significantly to projects focused on introducing new rack switch hardware, improving the flexibility, efficiency, speed, and reliability of deployments, and boosting network availability. Write high-quality, testable, and maintainable code, and participate actively in design and code reviews.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level