- 
                
                
                shaping and imaging Proficiency in GPU programming (CUDA/OpenCL) and strong coding skills in C/C++ and Python Practical experience with Spatial Light Modulators (SLMs) and wavefront shaping techniques Solid 
- 
                
                
                , implementing efficient monitoring of the various deployments using Grafana and Prometheus and the autoscaling of compute nodes for CPU and GPU workloads across various cloud providers. Key responsibilities will 
- 
                
                
                for GPU-accelerated applications. Data Engineering Tools: Proficiency in data engineering tools, including Apache Airflow for workflow orchestration, and message brokers like RabbitMQ or Kafka 
Searches related to gpu
  Enter an email to receive alerts for gpu "UNIVERSITY OF QUEENSLAND" positions