Context And Mission

The High-Performance Embedded Systems (HPES) laboratory aims at enabling the adoption of hardware, software, and artificial intelligent (AI) high-performance solutions in embedded systems as its center of gravity, but also in any system with some form of criticality, like cars, airplanes, and satellites. Our work is mainly carried out in the context of bilateral projects with several processor companies as well as several European-funded projects. For a complete list of publications of the group in the last years, please visit HPES page at the following link:
Modern Edge AI platforms integrate heterogeneous computing resources such as multicore CPUs, GPUs, NPUs, DSPs, and dedicated AI accelerators. Efficiently exploiting these resources requires mechanisms that go beyond standard application-level APIs and expose lower-level capabilities for resource allocation, partitioning, scheduling, performance monitoring, interference control, and runtime configuration.
In this context, we are looking for a talented and motivated Research Engineer to work on the advanced configuration,



control, and performance optimization of hardware accelerators in cutting-edge Edge AI platforms.
The research activity will investigate how accelerator resources can be observed and controlled from the system-software layer, with particular attention to:
• runtime configuration and resource management of GPUs, NPUs, and other AI accelerators;
• hardware-supported partitioning and isolation mechanisms;
• execution-time and resource predictability for AI workloads;
• memory, cache, and interconnect bandwidth management;
• accelerator scheduling and workload placement;
• power and performance configuration;
• hardware performance monitoring and telemetry;
• integration of low-level accelerator control mechanisms into system software, middleware, and runtime frameworks;
• experimental characterization of representative Edge AI workloads on state-of-the-art embedded platforms.
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📌 Research Engineer – Advanced Configuration of Edge AI Accelerators (Barcelona)
🏢 Barcelona Supercomputing Center
📍 Barcelona