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

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 : Own the full pipeline from model to real-time inference on embedded devices:

• 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, * 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.

Do you have experience in Python?, * 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

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! What we do: 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. Who we are: 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 happens in the office, while also empowering our team members to work remotely with responsibility and autonomy.