3 of 3 Permanent Cloud Computing Jobs in Edinburgh

to validate research ideas and integrate them into production systems and serverless infrastructure. Work closely with cross-functional teams to participate in developing innovative AI infrastructure, data systems, and cloud computing technologies. Implement resource scheduling and orchestration mechanisms to ensure efficient execution of distributed tasks. Required: Education: Bachelor's or Master's degree in Computer Science or a … related technical field. (PhD preferred but not required). Have an in-depth understanding of distributed systems and/or cloud computing and/or ML systems and/or multi-agent systems. Have an in-depth understanding of serverless platforms and containerization (e.g., Docker, Kubernetes). Good programming skills, master of at least one language, such as … communication and teamwork skills. Desired: PhD in computer science, distributed systems, machine learning, or a related field. Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization More ❯

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 … 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. More ❯

emerging technologies and requirements, contributing to Huawei’s capabilities in both system-level and high-level programming languages. Design and implement advanced compiler frameworks addressing concurrency and control, dataflow, cloud computing, metaprogramming, and large-scale parallel execution. Collaborate with the University of Edinburgh’s School of Informatics on compilers and programming languages, with a focus on transferring academic More ❯