AI Infrastructure Engineer
Edinburgh, Midlothian, United Kingdom
Project People
Key Responsibilities: Collaborative engineering: Work within a larger team to rapidly develop proof-of-concept prototypes to validate research ideas and integrate them into production systems and infrastructure Performance Analysis: Conduct in-depth profiling and tuning of operating systems and large-scale distributed systems, leveraging heterogeneous hardware (CPU, NPU). Documentation and Reporting: Maintain clear technical documentation of research … findings, design decisions, and implementation details to ensure reproducibility and facilitate knowledge transfer within the team. Research & Technology Exploration: Stay current with the latest advancements in AI infrastructure, cloud-native technologies, and operating systems. E.g. techniques to efficiently execute inference workload based on SW/HW co-design; exploit workload characteristics to prefetch memory/minimize communication. Stakeholder Communication More ❯
Employment Type: Contract
Rate: GBP 40,000 - 50,000 Annual
Posted: