A
AI

Edge AI Engineer

autonomous-teaming · München, BY, DE

Actively hiring Posted 5 months ago

**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 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

**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!

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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Ai Ai Engineer Machine Learning Deep Learning Robotics
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