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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Robotics AI / Application Layer Engineer (AMR + Manipulation + Teleoperation) - **Company:** Athes Inc - **Location:** Palo Alto, CA, United States - **Salary:** $70,403.0 - $84,786.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Layers, Systems Engineering, Computer Vision, Data Fusion, Python (Programming Language), Motion Planning, Robotic Automation Software, Sensor Fusion, Software Engineering, Reinforcement Learning, Pytorch, Mobile Robots, Deep Learning, HuggingFace, Machine Learning Operations, Stable Diffusion, Lidar - **Published:** June 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f65df57244799fd2 ## About the Role Do you have experience in Software engineering?, We are currently offering part-time, in-person roles for individuals who want to gain hands-on experience in real-world robotics development. This is an opportunity to work closely with our engineering team on cutting-edge robotics systems. This position is ideal for students or recent graduates who are eager to build practical experience in robotics, AI, and hardware systems., * Strong experience in Python and robotics software development * Experience with ROS2 (or ROS1), Gazebo, Isaac Sim, or equivalent * Hands-on experience with: * SLAM (2D/3D) * Robot navigation stacks (Nav2 or similar) * Computer vision or sensor fusion * Familiarity with robot learning / imitation learning / reinforcement learning * Experience with deep learning frameworks (PyTorch preferred) * Understanding of robotic manipulation or mobile robotics systems Preferred / Bonus Skills * Experience with diffusion policies for robotics * Experience using Hugging Face / LeRobot / open robotics datasets * Experience with robotic arms (UR, Franka, or custom manipulators) * Experience deploying models on edge devices (Jetson, NVIDIA platforms) * Familiarity with teleoperation systems and human-in-the-loop control * Experience in simulation-to-real-world transfer ## Description We are looking for a Robotics AI / Application Layer Engineer to build the intelligence layer of our robotic systems, focusing on autonomous mobile robots (AMRs), robotic arms, and humanoid manipulation systems. You will be responsible for implementing and deploying advanced AI policies, teleoperation pipelines, and navigation systems that bring real-world robotic systems to life. This role sits at the intersection of robot learning, computer vision, and real-world robotics deployment. Key Responsibilities1. Teleoperation & Robot Learning Pipelines * Build and maintain teleoperation pipelines using LeRobot and Hugging Face ecosystems * Implement data collection systems for robotic manipulation tasks * Support imitation learning workflows from human demonstrations * Integrate real-time control interfaces for robotic arms and humanoids 2. Model Deployment for Robotic Manipulation * Deploy trained manipulation models on real robotic arms * Implement and optimize diffusion policy models for robot control * Ensure robust sim-to-real transfer of learned policies * Optimize inference latency for real-time execution on edge hardware 3. AMR Navigation & SLAM Systems * Implement SLAM-based navigation systems for indoor AMR operation * Work with LiDAR, depth cameras, and IMU data fusion * Develop path planning and obstacle avoidance pipelines * Integrate navigation stack with robot task planning systems 4. Robot Intelligence & Application Layer * Design high-level behavior logic for autonomous robot tasks * Integrate perception, planning, and control into unified pipelines * Work closely with hardware and systems engineers to ensure full-stack functionality * Support deployment, testing, and iteration in real-world environments ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Code to Road in < 12 hours](https://www.wearedevelopers.com/videos/1082-code-to-road-in-12-hours) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Robots Among us: Advances in AI for Everyday Androids](https://www.wearedevelopers.com/videos/100230-robots-among-us-advances-in-ai-for-everyday-androids) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)