Hpc Runtime Environment Researcher
il y a 5 jours
HPC Runtime Environment Researcher
Research & development - Leuven | Just now
Passionate about developing the runtime environment software for the next-generation of high
What you will do
The Compute System Architecture (CSA) R&D unit at imec leads research into futuristic high-performance and highly secure RISC-V CPUs to extend imec’s technology research leadership into the next decade. System Architecture innovations are key to position imec for success in fast evolving workloads of tomorrow. This unit is responsible for the architecture definition of new CPU and accelerator capabilities, analyzing emerging usage models, and building hardware and software prototypes for data-driven computing hardware capable of exa-scale performance.
What we do for you
We offer you the opportunity to join one of the world’s premier research centers in nanotechnology at its headquarters in Leuven, Belgium. With your talent, passion and expertise, you’ll become part of a team that makes the impossible possible. Together, we shape the technology that will determine the society of tomorrow.
We are committed to being an inclusive employer and proud of our open, multicultural, and informal working environment with ample possibilities to take initiative and show responsibility. We commit to supporting and guiding you in this process; not only with words but also with tangible actions. Through imec.academy, 'our corporate university', we actively invest in your development to further your technical and personal growth.
We are aware that your valuable contribution makes imec a top player in its field. Your energy and commitment are therefore appreciated by means of a market appropriate salary with many fringe benefits.
Who you are
Must-haves:
- Master’s or Doctoral degree preferably in Computer Science, (Applied) Mathematics or Engineering disciplines
- Experience with developing runtime resource management and scheduling techniques and implementations (real-time scheduling, stochastic scheduling, task and data assignment,)
- Hands-on and concise in your approach, you enjoy a strong focus on problem solving
- You quickly embrace new technological paradigms (languages, libraries, technologies,)
- You love to take on challenges and are highly result-driven.
- You deeply care about customer satisfaction and quality of the delivered results.
- You are a strong team player and a good communicator. Sharing progress of tasks, seeking feedback from your colleagues, and acting as a soundboard, is important to you.
Nice to have:
- Knowledge of hardware architectures and platforms
- Knowledge of cluster middleware implementations (e.g. MPI, PGAS, MapReduce)
- Knowledge or experience with in-network computing (for data reduction techniques etc)
- Knowledge of the various different cluster and HPC network topologies and how they interact with different workloads
- Experience or knowledge about integrating cluster runtimes with lightweight OS on cluster nodes
- Experience in data science (machine learning, AI, statistics) or HPC (large-scale simulations) workloads
- Experience or domain knowledge in the life sciences domain
- Experience with FPGA platforms, e.g. Xilinx tools or digital design, e.g. VHDL/Verilog
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