AI & Embedded ML Engineer (Real-Time Edge Optimization)

il y a 2 jours

Toulouse, France Autonomous Teaming Temps plein

AI & Embedded ML Engineer (Real-Time Edge Optimization) Join to apply for the AI & Embedded ML Engineer (Real-Time Edge Optimization) role at Autonomous Teaming. Mission Build AI that runs in the real world. On real robots. Under real constraints. At Autonomous Teaming, we build autonomous robotic systems operating in extreme, GPS-denied environments. Our models run fully on edge hardware (Jetson, FPGA, custom boards), with no cloud, no fallback, no excuses. We’re looking for an engineer who loves hard problems: real-time inference, low-latency pipelines, CUDA kernels, TensorRT graphs, and deploying ML models directly on hardware. If you enjoy debugging things that only break on the robot, this role is for you. Missions Optimize deep neural networks for Jetson, FPGA or ARM boards Apply quantization, pruning, distillation to hit strict FPS, power and memory budgets Convert & compile models using TensorRT, ONNX, CUDA, C++ Build ROS nodes integrating optimized perception into the full robotic system Debug runtime failures, memory leaks, thermal throttling, kernel-level issues Benchmark and validate performance directly on hardware Ship models that run reliably in real-world, harsh environments Your profile Must-have Strong experience in CUDA & C++ Hands-on work with TensorRT, ONNX, TVM or similar compilers Practical experience with quantization / pruning / INT8 / FP16 Experience deploying models on Jetson / embedded GPUs / ARM / FPGA Comfortable with PyTorch, Python, Linux, Git Engineer mindset: measurement → optimization → validation Nice-to-have ROS (building nodes, integrating perception stacks) Custom accelerators, DSPs or hardware-specific toolchains Profilers: Nsight, perf, tegrastats, TensorRT profiler Experience in robotics, autonomous systems, aerospace, automotive or defense Why us? You ship code that directly controls real robots You work on constrained hardware, where every millisecond and every watt matters You solve problems that cloud ML engineers never face You own your optimizations end-to-end: from model to field deployment You work in a small, high-performing team where ownership is real If you want a job with clean layers and abstract diagrams, this is not it. About Us We are a defence-tech start-up specializing in machine vision solutions. If you have a passion for cutting-edge innovation, and drive to use your skills to create next generation solutions, this is an opportunity for you We are developing solutions that enable computers and sensors to collaborate as teams, working together to address emerging security challenges. Our primary mission is to defend against AI-powered asymmetric threats at scale, such as drone swarms and other UXVs. Based in Munich, Berlin and Bordeaux/Toulouse we are rapidly expanding across Europe with plans to open more office hubs soon. We embrace a hybrid work culture—valuing the collaborations that happen in the office, while also empowering our team members to work remotely with responsibility and autonomy. #J-18808-Ljbffr

  • AI & Embedded ML Engineer (Real-Time Edge Optimization)

    il y a 2 semaines

    Toulouse, Occitanie, France autonomous-teaming Temps plein

    Your mission Build AI that runs in the real world. On real robots. Under real constraints.  At Autonomous Teaming, we build autonomous robotic systems operating in extreme, GPS-denied environments. Our models run fully on edge hardware (Jetson, FPGA, custom boards), with no cloud, no fallback, no excuses.  We're looking for an engineer who loves hard...

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