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Job Summary:
We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems.
Key Responsibilities:
- Rapid Prototyping:Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments.
- Performance Optimization:Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance.
- Research Publications:Transform research findings and innovative contributions into high-impact publications in top-tier academic journals and conferences.
- Technical Documentation:Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing.
- Stakeholder Engagement:Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations.
Person Specification:
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.
- Be comfortable with research methodology.
- Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms.
- Good programming skills, master of at least one language, such as C/C++.
- Good communication and teamwork skills.
Desired:
- PhD in operating systems, distributed systems, machine learning, or a related field.
- Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine learning (NeurIPS, ICML, ICLR).
- Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization.
