Senior Applied AI Engineer

About the role

You will create and implement AI software to enhance the functionality of our robotic platforms. This role places you at the intersection of advanced research and production engineering, where your work will directly shape how intelligent machines interact with the physical world. You own the full lifecycle of AI software, transforming abstract algorithms into robust modules that power real robotic behaviors. A core part of your responsibility involves translating complex machine learning theories into practical industrial applications that function reliably outside of controlled lab conditions. You will act as a technical leader, designing solutions that balance innovation with the strict safety and performance demands of commercial robotics. This position requires you to bridge the gap between data science experimentation and deployable software engineering. You will collaborate across disciplines to ensure that artificial intelligence capabilities integrate seamlessly with the broader robot stack. Ultimately, your contributions will define the capabilities of our platforms and the value delivered to our customers.

Key facts

What you'll do

• Architect and develop software components for Vision Language Action Models that enable robots to perceive and act.
• Integrate AI software stacks with mechanical and electrical hardware systems to ensure synchronized operation of robot units.
• Implement production-grade code that emphasizes readability, maintainability, and performance for robotic applications.
• Design and execute validation protocols to test AI model behavior in real-world physical environments and edge cases.
• Analyze system telemetry to diagnose issues and iteratively improve the reliability of AI-driven functionalities.
• Lead knowledge transfer sessions to mentor engineers and disseminate best practices across multiple engineering teams.
• Conduct literature reviews and competitive analysis to track advancements in robotics and AI for strategic adoption.
• Collaborate with product managers to translate high-level requirements into technical specifications for AI features.
• Optimize models for latency and resource usage to meet the constraints of embedded and edge computing platforms.
• Establish testing frameworks that ensure AI components meet safety and quality standards before deployment.
• Partner with data teams to curate and refine datasets that improve the accuracy and generalization of learning systems.
• Drive the creation of technical documentation that captures design decisions and interfaces for future development.

Requirements

• Hold a Bachelor or Master degree in Robotics, Computer Science, Electrical Engineering, or a closely related technical discipline.
• Bring a minimum of 5 years of professional experience deploying artificial intelligence within industrial robotics settings.
• Demonstrate deep knowledge of multimodal learning, including diverse training paradigms and complex model architectures.
• Possess a practical background in deep learning and machine learning, with specific expertise in reinforcement learning or world models.
• Show fluency in C++ and Python, with a proven track record of writing efficient and debuggable code.
• Exhibit strong communication skills necessary for explaining intricate technical concepts to varied stakeholders.
• Thrive in a fast-moving team environment where priorities shift and problem-solving under pressure is essential.
• Have a history of delivering projects that adhere to strict timelines while maintaining high standards of quality.
• Understand the implications of model behavior in safety-critical contexts and apply disciplined testing practices.
• Be comfortable working with distributed version control and managing dependencies in complex software projects.
• Demonstrate the ability to learn new frameworks and tools quickly while maintaining rigorous engineering standards.
• Commit to following coding guidelines and contributing to constructive code review processes.
• Show evidence of troubleshooting skills to isolate issues in integrated software and hardware systems.
• Align with Agile Robots' ethos of building reliable technology that has a positive impact on real-world workflows.

Nice to have

• Hands-on experience using ROS for building robotic software architectures and communication pipelines.
• Proficiency with simulation platforms like Nvidia Isaac-Sim or Mujoco for training and testing AI models.
• Background in real-time operating systems and hardware interfacing for low-latency control loops.
• Familiarity with Agile workflows, Git, and continuous integration practices to streamline development cycles.
• Prior work on deploying models in heterogeneous computing environments involving CPUs, GPUs, and accelerators.
• Experience contributing to open-source robotics or machine learning projects that demonstrate collaborative engineering skills.

Practical notes

Agile Robots employs over 2300 people globally and offers a corporate benefits package providing 100 Euro net per month for health, learning, and mobility. Our Munich headquarters features a modern office with a rooftop terrace, complimentary snacks, and regular team events. We maintain an international environment with staff from over 60 countries and welcome applicants of all backgrounds. The position is based full-time at our Munich location, requiring consistent presence during standard business hours to facilitate close collaboration. Travel may be required occasionally for team meetings, customer visits, or industry conferences. Applicants must possess the right to work in Germany or EU residency to comply with local employment regulations. The application process will prioritize submitted materials, and early submission is encouraged to ensure full consideration.