Job Description 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: Present project milestones, performance metrics, and key findings to internal stakeholders.
List details of Knowledge, Skills, Experience and Qualifications needed to do the job:
Required:
Bachelor's or Master's degree in Computer Science or a related technical field.
A solid background in operating systems and/or distributed systems and/or ML systems.
Excellent programmi...