Platform Systems Engineer: Scalable AI Infra & Observability

OpenAI; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global AI research company in London is seeking a Software Engineer for Platform Systems to enhance large-scale AI training infrastructure. Key responsibilities include designing failure detection systems, improving observability, and collaborating with various teams to ensure the platform's reliability. Ideal candidates should have experience in distributed systems, performance optimization, and debugging complex issues. Join us in shaping the future of AI technology with state-of-the-art engineering solutions.

Qualifications

• Experience with large-scale distributed systems and their performance.
• Experience writing low-level software.
• Understanding of hardware, operating systems, and networking.

Responsibilities

• Design and build failure detection and tracing systems for AI training jobs.
• Develop tools to identify issues in large-scale systems.
• Improve observability and reliability of training infrastructure.

Skills

Performance analysis

Debugging

Systems engineering

Distributed systems

Observability

Job description

A global AI research company in London is seeking a Software Engineer for Platform Systems to enhance large-scale AI training infrastructure. Key responsibilities include designing failure detection systems, improving observability, and collaborating with various teams to ensure the platform's reliability. Ideal candidates should have experience in distributed systems, performance optimization, and debugging complex issues. Join us in shaping the future of AI technology with state-of-the-art engineering solutions.