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Senior Software Engineer, ML Compiler, Frameworks and Performance

Google· Google Cloud
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BengaluruFull-timePosted 3mo ago

About the role

Google Cloud software engineer role focused on ML infrastructure, compilers, frameworks, and performance improvements across the ML training and serving stack, with emphasis on XLA, frameworks (JAX, PyTorch), and ML inference frameworks.

Responsibilities

  • Focus around driving continuous improvements to the machine learning software/hardware stack for Google first-party teams, and for Google Cloud Platform customers.
  • Develop an intuitive understanding of various parts of Google’s ML training and serving stack with deep introspection across Frameworks (JAX, PyTorch), Accelerated Linear Algebra (XLA) and runtime stack.
  • Identify opportunities to improve the efficiency of the ML workloads through insightful performance debugging for workloads and custom kernels and build solutions to deliver those improvements.
  • Partner with other teams that own various parts of the ML stack to understand performance optimization use cases. Work with OSS ML inference frameworks such as TorchTPU, vLLM, SGLang to provide insights into performance bottlenecks.
  • Support new and exciting ML paradigms (such as horizontal scaling for upcoming TPU chips) by making contributions across the stack and performance analysis tools.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in C++ or Python programming languages.
  • Experience in machine learning (ML) infrastructure development or ML performance engineering.

Skills

Required:C++PythonMachine Learning Infrastructure
Last updated Oct 23, 2026. Interested? Apply on the company site.

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