Sort by
Refine Your Search
-
in a university, research or comparable enterprise environment. Deep expertise in Linux and HPC architecture, including heterogeneous CPU/GPU compute, workload scheduling, high-speed interconnects
-
Full time, fixed term until 31st January 2028 Opportunity to lead and shape a flagship, university-wide AI and GPU compute capability supporting cutting-edge research Base Salary $162,528 + 17
-
, virtualisation technologies and performance optimisation. Hardware acceleration technologies and modern compute architectures, including GPUs and high-performance networking technologies. Programming and scripting
-
tasks and meet competing deadlines by using judgement and initiative. Desirable Skills and Experience (Advantageous but not Essential): Experience with high‑performance compute (HPC) or GPU‑accelerated
-
, virtualisation technologies and performance optimisation. Hardware acceleration technologies and modern compute architectures, including GPUs and high-performance networking technologies. Programming and scripting
-
decentralised AI training systems using real-world workloads, GPU infrastructure, and industry-relevant deployment scenarios; and Generate open-source frameworks, algorithms, benchmarks, and research outputs
-
-of-the-art GPU and data storage cluster; direct access to a Titan Krios to the LonCEN consortium and the UK national cryo-EM facility at eBIC. What you would be doing: By joining the Costa laboratory, you will
-
. Expertise with AWS CPU and GPU computing, cloud computing, AI model architecture, training, and validation, reinforcement learning, generative artificial intelligence, and data assimilation in an industry and
-
infrastructures, improving system performance, scalability, and efficiency by optimizing resource usage (e.g., GPUs, CPUs, energy consumption). Researchers and students will explore innovative approaches to reduce