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Kanaria Tech – Company Vision
Kanaria Tech is building foundational intelligence that lets machines move naturally through human-centric spaces.
Our goal is to enable any mobile robot to navigate in social environments without bespoke, platform-specific code.
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Product Snapshot · Kanaria Robotic Model (KRM)
KRM is our core technology: a social-navigation foundation model trained on large-scale dynamic navigation environments.
Its design keeps it hardware-agnostic among AMRs, allowing deployment across various ground robots.
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What We're Looking For
We’re hiring AI Engineers / Researchers who enjoy working across perception, sequence modelling, and reinforcement learning in a fast-moving startup.
Essential expertise
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Professional experience as an ML/AI Engineer.
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Deep learning experience with PyTorch/TensorFlow and proficiency in Python.
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Modern computer-vision methods (self-supervised learning, transformer backbones, contrastive / masked pre-training).
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Multimodal modelling experience: integrating language, vision, action, or other sensor data into a unified learning system.
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Foundations of imitation learning and reinforcement learning; able to stand up an RL loop in simulation.
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Solid Python engineering practices—version control, experiment tracking, profiling.
Helpful extras
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Experience with large-scale temporal or sequential datasets and streaming data pipelines.
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Familiarity with physics simulators (Isaac Lab, MuJoCo, Unity, Omniverse).
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Model optimization for edge devices (e.g., quantization, pruning) and embedded deployment on Jetson-class hardware.
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Contributions to open-source ML frameworks or published research.
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How You'll Contribute at Kanaria as an AI Engineer / Researcher
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Research & Prototyping – explore and implement algorithms that advance KRM’s perception and decision-making capabilities.
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Data & Training Pipelines – collaborate with the software-engineering team to ingest video, curate labels, and scale training jobs on multi-GPU clusters.
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Simulation & Evaluation – integrate new models into our simulation stack, design benchmarks, and analyse performance.
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Team Collaboration – work closely with the research lead and CTO on technical direction; pair with simulation engineers and hardware testers for end-to-end validation.
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Knowledge Sharing – keep the team current on relevant literature, tooling, and best practices.
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Job Application
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What We're Looking For
We’re hiring a Robotics Engineer with strong expertise in ROS2 and simulation, who can bridge robotics systems with cutting-edge AI models. This role combines hands-on robotics engineering with model deployment on embedded platforms.
Essential expertise
• Strong ROS2 experience (rclpy, tf2, coordinate frames, Nav2, RViz, QoS)
• Python engineering, Docker containers, Git
• Hands-on with mobile robots and navigation stacks
• Proficiency with robotics simulation tools (Gazebo, Isaac Sim, Genesis, or similar)
• Experience with deployment of AGV/AMRs (hardware) in real life
• Experience deploying ML models to embedded platforms (Jetson devices, TensorRT, ONNX)
Helpful extras
• URDF modeling for robot 3D assets (meshes, inertias, collisions) and sim sensors
• Prior work with AI for robotics (VLA, VLM, world models, or CV)
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How You'll Contribute at Kanaria as a Robotics Engineer
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Develop and maintain ROS2 pipelines
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Work with simulators such as Genesis, Isaac Sim, ARENA 5.0 for testing and benchmarking
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Deploy AI models on embedded devices (Jetson Orin, Thor) with optimization (ONNX, TensorRT, quantization)
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Integrate AI navigation models into wheeled mobile robots
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Collaborate with AI engineers on world models, VLA/VLM/LLM, and vision based navigation.
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Help design and operate the real-world data collection pipeline
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Validate models on physical robots in real environments
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Job Application
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