Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 2 years of experience with networking protocols and troubleshooting.
- 2 years of experience working in C .
Preferred qualifications:- 2 years of experience with data structures and algorithms.
- 2 years of experience with performance optimization.
- 2 years of experience with networking protocols.
- Experience in network infrastructure.
- Experience with machine learning infrastructure.
About the jobAs a team member in Tensor Processing Unit Host Networking, you will play a leading role in the design, development, testing, deployment, and debugging of the TPU networking stack, from hardware (Tensor Processing Unit, Network Interface Controller) all the way up to ML frameworks (JAX, PyTorch) to enable both large-scale training and low-latency inference applications.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Write product or system development code.
- Design, develop, test and deploy TPU networking stack.
- Perform full-stack cross-layer optimization of TPU networking performance for a variety of ML workloads.
- Analyze and debug TPU networking performance issues in production.
- Develop and enhance telemetry to provide deep visibility into network behavior and accelerate troubleshooting.
