Staff Research Software Engineer: AI Inference & LLMs

Google Inc.

Singapore

On-site

SGD 180,000 - 240,000

Full time

3 days ago
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Job summary

Google Research Singapore invites applications for a Staff Research Software Engineer to advance AI capabilities and inference acceleration for large-scale models. You will lead algorithmic research and contribute to efficient AI systems in a fast-paced team.

You will collaborate across teams, publish results, and influence the direction of AI research in Singapore, focusing on performance, efficiency and deployment of Generative AI models.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience with ML design and ML infrastructure (model deployment, evaluation, data processing, debugging, fine tuning).
  • 5 years of experience with one or more of: Speech/audio, reinforcement learning, ML infrastructure, or related ML field.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

  • Design and implement novel algorithms that optimize inference for LLMs with high throughput and low latency.
  • Develop and optimize low-level software and kernels for AI model inference across hardware and architectures.
  • Co-design algorithms with hardware architects for next-generation systems.
  • Amplify impact through publications and dissemination of research results.

Skills

Problem solving
Decision making
System design
Research leadership
Team collaboration

Education

Bachelor’s degree or equivalent practical experience
PhD in ML/AI/CS/Statistics/Applied Mathematics

Job description

Google Research Singapore invites applications for a Staff Research Software Engineer to advance AI capabilities and inference acceleration for large-scale models. You will lead algorithmic research and contribute to efficient AI systems in a fast-paced team.

You will collaborate across teams, publish results, and influence the direction of AI research in Singapore, focusing on performance, efficiency and deployment of Generative AI models.

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