Machine Learning GPU Performance Engineer- Google
Published:20 Aug 2024
Location:London
Employment Type:Full Time
Salary:27500 - 275000
Role Highlights
- C++
- Python
- Triton
- AI
- Data Analysis
- NLP
- Information Retrieval
- Computer Science
- Full Stack
- Software Design
- Data Structures
- System Design
- Technical Leadership
- Testing
- PhD
- Search
- Storage
- Security
- UI
- Infrastructure
- LLMs
Tools, Libraries and Frameworks
- XLA
- GPUs
Description
Googles software engineers develop next-generation technologies that change how billions of users connect and interact with information. The role involves working on projects critical to Googles needs, providing opportunities for switching teams as the business evolves. Engineers are expected to demonstrate versatility and leadership qualities while tackling new problems across the full-stack.
The Core team builds foundational technical components and engages with product teams to enhance model performance and efficiency at a massive scale. At gTechs Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Googles and Alphabets broad product environments.
The team acts as a bridge between Googles users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Googles product suite, leveraging extensive global vendor networks.
Googles overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.
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