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Field
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of appropriate experience required. Preferred Skills/Qualifications: Experience with additional programming languages (e.g., C++, Java, Python). Experience with FPGA programming. Experience with electro-optical
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recommended. Strong background in computer architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a
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with designs for infrared or optical image sensors, sensor characterization, performance optimization, and calibration methods. Digital logic design and implementation using FPGAs. Experience in DSP
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or Electrical Engineering with an emphasis on electromagnetics, or microwaves, or antenna theory. More than three years of related experience. Experience working with hardware design language and FPGA design
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Systems and IoT Drive innovation in the computational heart of modern devices and systems - Microcontroller and FPGA-based design, real-time operating systems, wireless sensor networks, edge computing
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using state-of-the-art techniques. Develop bytecode to test and analyze VHDL for FPGAs and ensure hardware interfaces and controls meet the intended design. Who you are You have a BS in Computer
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
develops various tools such as the Faust programming language (a DSL for Real-Time audio DSP), Syfala (a tool to facilitate the programming of FPGAs for real-time audio DSP), and FloPoCo (a generator of
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Low-power Network Protocols, MAC Layer protocols C/C++, Compilers, Embedded Systems (Optionally) Basic Electronics, PCBs, Circuits, FPGAs Highlights of the position Part of a Marie Skłodowska Curie
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architectures Support lab activities related to designing and optimizing AI implementations across various platforms, including embedded and edge computing environments (e.g., Jetson, Raspberry Pi, FPGA
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(e.g., hardware trojans, side-channel exposure). Co-develop testbenches for hardware simulations and chiplet-level threat modelling. Collaborate closely with FPGA and IC prototyping teams to deploy AI