Senior Software Engineer, TPU Supercomputer

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in system software development with C++.
• 3 years of experience in distributed systems.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience with production monitoring, logging, and observability tools.
  
• Experience with cloud platforms and technologies (e.g. GCP).
  
• Experience with machine learning concepts and frameworks (e.g., TensorFlow).
• Experience with data analysis and SQL.
  
• Knowledge of networking protocols and technologies.
  

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

• Design and maintain TPU supercomputer software across different layers of the software stack to control, monitor, build, deploy, qualify and serve the TPU supercomputing systems.
• Manage the whole lifecycle across both computing and networking components for Google’s AI supercomputer/hypercomputers.
• Create system-level debuggability and observability tools in partnership with key stakeholders, ensuring alignment and functionality across the stack.
• Collaborate with Silicon, Software, Site Reliability Engineer (SRE), and Operations teams to drive reliability improvements and address issues across the entire TPU stack.