sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.
We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.
Join us and play a pivotal role in transforming the automation landscape in heavy industries.
We are looking for a skilled Robotics AI Engineer to join our team. The ideal candidate will possess expertise in Vision Language Models (VLM) and artificial intelligence systems for robotics. This role focuses on integrating vision, language understanding, and action generation to develop AI systems that enhance robotic interaction, perception, navigation, and autonomy in complex real-world environments.
Key Responsibilities:
Design and implement AI systems that can combine vision and language to improve the autonomy of robotic platforms
Optimize and refine AI systems that leverage radar and other sensory technologies for end-to-end learning
Test and validate models under real-world conditions to ensure reliability and effectiveness
Collaborate with interdisciplinary teams of software engineers and roboticists to integrate these systems into larger automation solutions
Manage the full cycle of development, from initial research through deployment and ongoing optimization
Required Qualifications:
Bachelor's or Master's degree in Robotics, AI, Computer Science, Electrical Engineering, or a related field
Strong programming skills in Python and familiarity with C++
Proven expertise in machine learning and robotic control systems
Experience with frameworks such as PyTorch or TensorFlow
Demonstrated experience deploying AI systems in real-world robotic applications
Ability to tackle complex, interdisciplinary technology challenges
Preferred Skills:
Practical experience implementing Vision-Language Action Models in robotic systems
Familiarity with sensor fusion techniques and real-time system integration
Experience with robotics simulation and testing frameworks
Knowledge of outdoor SLAM (Simultaneous Localization and Mapping) techniques
Experience with radar data processing or similar sensory inputs
Track record of maintaining and supporting deployed robotic AI systems in production environments
Publication or contribution to relevant AI or robotics conferences or journals
Build physical AI for the world's largest off-highway machinery – making them intelligent, safe, and ready for every tough task
Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors
Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment
Tailor your own career path, whether you like to become technical specialist or technical team lead
Experience a great team culture, beverages, and an amazing office environment
Attractive compensation package and stock options.
Beverages on-site and regular social events.
Engage with top-tier researchers, engineers, and thought leaders.
Influence the future of robotic technologies and tackle significant technological challenges.
Assistance with relocation to Berlin.
Heavy machinery, light years ahead.
sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.
We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.
We are proudly backed by Point Nine and other Tier 1 investors.

sensmore, a Berlin/Potsdam-based robotics startup, pioneers Physical AI to turn the world’s largest mobile machines into intelligent robots.
As a full-system provider, it retrofits fleets like wheel loaders and haul trucks with a modular platform integrating end-to-end AI and Vision-Language-Action Models (VLAMs), enabling real-time automation of complex tasks such as load & carry in production environments where it was previously out of reach.
Co-developed with customers, sensmore is backed by Point Nine Capital, Tier 1 investors, the State of Brandenburg, and the EU.
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sensmore is funded by the European Regional Development Fund (EFRE) supported through the Investitionsbank Berlin (IBB).
Project name:
Automating heavy vehicles in mining with AI using 4D imaging radar
Project description:
sensmore innovates in mining automation, integrating radar and AI for safer, eco-friendly operations. Supported by the Pro FIT program, this initiative transforms research into practical, sustainable mining solutions, enhancing Berlin's role in green technology.
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sensmore is funded by the European Regional Development Fund & the state of Brandenburg.
Project name
Innovative AI software for automated material handling of construction machinery.
Description
The goal of the project is an innovative Kl- based software for the automated material handling of construction machinery with the product name: Material Handling Intelligence. This represents a plug-and-play software solution for the automated material handling of construction machinery such as LHD or wheel loaders.