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AI Job Summary

Lead the technical direction and architecture of TPU workload onboarding and optimization frameworks, working with ML research and performance teams to ship stable stack solutions to customers. Requires a bachelor's degree, eight years of software development experience, five years leading ML infrastructure design and optimization, two years with state-of-the-art training and inference techniques like Megatron-LM and TensorRT-LLM, and two years in a people management role.

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Job Description

  • Act as a Senior Software Manager leading the onboarding for stable stack, and optimization for training and serving solutions on the latest TPU NPIs. Set the technical direction and architect the training/inference serving onboarding and optimization frameworks for our customer needs.
  • Collaborate with the ML research, ML performance, model optimization tooling, and other optimization teams.
  • Ship stable stack to our customers for training/inference optimization solutions on TPU.
  • Prepare and optimize very large reference models, demonstrating state of the art single-host and multi-host inference solutions, especially at large-scale.
  • Work closely with customers to onboard their workloads to production and optimization.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience with software development.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with state of the art training (e.g. Megatron-LM, DeepSpeed) and inference techniques (e.g. TensorRT-LLM, vLLM, SGLang).
  • 2 years of experience in a people management or team leadership role.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • Experience in optimizing machine learning models for large-scale training/inference workloads.
  • Experience in different large-scale ML optimizations techniques for improving latency and throughput.
  • Experience with accelerators (TPUs or GPUs), or HPC .
  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience with software development.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with state of the art training (e.g. Megatron-LM, DeepSpeed) and inference techniques (e.g. TensorRT-LLM, vLLM, SGLang).
  • 2 years of experience in a people management or team leadership role.
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  • Role Senior Staff Tech Lead Manager, TPU Workload Onboarding and Optimization
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location Singapore
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

Job Overview
Eligibility
Singapore Right to work in Singapore required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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