Robotics State Estimation Engineer at sensmore | Potsdam

At sensmore, we are pioneering the automation of the world's largest machines with groundbreaking intelligence. Our unique Physical AI technology empowers heavy machinery, such as wheel loaders, to seamlessly adapt to ever-changing environments and undertake new tasks without the need for prior training.By integrating state-of-the-art robotics into our innov…

Join sensmore as a Robotics Engineer specializing in Artificial Intelligence. In this role, you will work at the forefront of robotic technology, developing innovative solutions that integrate AI algorithms with robotic systems. You will collaborate with a talented team to design, test, and implement sophisticated robotics solutions that enhance automation and efficiency across various applications.

At sensmore, we are revolutionizing the automation of the world's largest machines with unparalleled intelligence. Our unique Physical AI technology empowers heavy machinery, including wheel loaders, to seamlessly adapt to dynamic environments and undertake new challenges without prior training.We are at the forefront of integrating state-of-the-art robotics into a platform that drives innovation in intelligence and automation products, significantly enhancing productivity and safety in sectors such as mining, construction, and related industries.Join us in our mission to reshape the future of automation in heavy industries.As a Working Student – Mechatronics Assembly Technician, you will play a crucial role in the assembly of advanced sensor boxes that incorporate sensors, computing units, communication hardware, power systems, and more. Your expertise and attention to detail will establish the benchmark for durability, reliability, and performance in the field.

At sensmore, we are revolutionizing the automation of large-scale machinery with our groundbreaking Physical AI technology. Our innovative solutions empower heavy machinery, such as wheel loaders, to swiftly adapt to ever-changing environments and tackle new tasks without the need for prior training.We are integrating state-of-the-art robotics into a comprehensive platform that drives intelligence and automation across various industries, including mining and construction, enhancing both productivity and safety for our customers.Join our team and contribute significantly to the transformation of automation in heavy industries.Role OverviewWe are on the lookout for a talented Robotics Simulation CI/CD Engineer to join our innovative team. In this role, you will design and develop the infrastructure necessary for efficient, scalable testing and deployment of robotic simulation environments. The ideal candidate will blend robust software engineering expertise with hands-on experience in robotics simulation pipelines and DevOps methodologies.Your contributions will ensure that all robotic software, simulation environments, and datasets are seamlessly built, tested, validated, and deployed across development workflows. By creating reliable CI/CD pipelines tailored for simulation and robotics software, you will be instrumental in accelerating development cycles, enhancing reliability, and enabling extensive testing of autonomous systems.Key ResponsibilitiesDesign and maintain robust CI/CD pipelines for robotics simulation environments to guarantee reliable automated builds, testing, and deployment.Develop infrastructure enabling large-scale simulation-based testing to validate robotic software.Integrate simulation frameworks with robotics development workflows to facilitate continuous testing of autonomy, perception, and control systems.Automate the testing and validation processes for robotic software using simulated environments, datasets, and regression benchmarks.Optimize simulation infrastructure for scalability, facilitating distributed testing across both cloud and on-premise computing environments.Work collaboratively with robotics, AI, and platform engineers to ensure simulation environments accurately mirror real-world robotic systems.Maintain infrastructure-as-code and containerized environments to guarantee reproducible simulation pipelines.Document CI/CD processes, testing strategies, and simulation infrastructure to promote team-wide adoption and reliability.Required QualificationsBachelor's degree in Computer Science, Robotics, or a related field.Proven experience in software engineering, with a strong focus on robotics simulation and CI/CD practices.Familiarity with automation tools and frameworks.Excellent problem-solving abilities and strong communication skills.Experience with cloud services and distributed systems is a plus.

At sensmore, we are revolutionizing the automation of the world's largest machines, infusing them with unparalleled intelligence. Our proprietary Physical AI technology empowers heavy machinery, such as wheel loaders, to seamlessly adapt to dynamic environments and perform new tasks without prior training.We are integrating state-of-the-art robotics into a comprehensive platform that drives intelligence and automation products, enhancing productivity and safety for clients in mining, construction, and related sectors.Join us to play a crucial role in redefining the automation landscape across heavy industries.Role Overview:In the position of Data Engineer, you will design, construct, and maintain the data infrastructure that supports Sensmore’s embodied AI and Vision-Language-Action Models (VLAMs). You will work closely with Robotics, Machine Learning, and Software Engineering teams to ensure seamless and reliable data flows from our sensor arrays (including radar, LiDAR, cameras, and IMUs) into training and inference pipelines. This role integrates traditional data engineering practices (such as ETL/ELT, warehouse design, and monitoring) with ML Ops methodologies, focusing on model versioning, data drift detection, and automated retraining.Key Responsibilities:Construct and manage data pipelines: Ingest, process, and convert multi-sensor telemetry (including radar point-clouds, video frames, and log streams) into formats suitable for analytics and machine learning.Design scalable storage solutions: Develop high-throughput, low-latency data lakes and warehouses (e.g., S3, Delta Lake, Redshift/Snowflake).Facilitate ML Ops workflows: Integrate tools like DVC or MLflow, automate model training/retraining triggers, and track the lineage of data and models.Ensure data integrity: Implement validation, monitoring, and alerting mechanisms to identify anomalies and schema changes promptly.Collaborate effectively across teams: Work alongside Embedded Systems, Robotics, and Software teams to align on data schemas, APIs, and real-time data requirements.Optimize system performance: Fine-tune distributed processing, queries, and storage configurations for cost-efficiency and throughput.Document and advocate best practices: Maintain comprehensive documentation for data schemas, pipeline architectures, and ML Ops practices to elevate team performance.

sensmore builds automation systems for heavy machinery, applying intelligent robotics to help equipment such as wheel loaders adapt to changing tasks and environments. Their Physical AI platform connects robotics with real-world industrial needs, aiming to boost productivity and safety across sectors like mining and construction. This PhD Research Internship centers on advancing industrial automation, blending research and engineering in a practical setting. The position is based in Berlin or Potsdam and focuses on Vision-Language Models (VLM) and Vision-Language-Action (VLA) systems for robotics. Role overview The internship targets general purpose AI, with an emphasis on developing scalable VLA systems that enable robots to perceive, reason, and act in complex industrial environments. The work combines multi-modal perception, including video, radar, and lidar, with practical robotics. Interns will contribute to embodied AI research for heavy industry, working at the intersection of method development and hands-on engineering. There are opportunities to publish research and influence the direction of industrial autonomy at sensmore. Key responsibilities Research and method development: Design and implement new approaches for Vision-Language-Action systems in industrial contexts. Investigate scalable architectures for multi-modal reasoning and action generation. Advance methods in embodied AI and robotic autonomy. Multi-modal learning and data systems: Lead the design and evaluation of large-scale multi-modal datasets, including video, radar, lidar, and sensor fusion. Develop self-supervised or weakly supervised pipelines for generating VLA datasets. Explore data-centric strategies to improve robustness and generalization. Model development and optimization: Build, adapt, and extend advanced models to achieve project objectives.

At sensmore, we are revolutionizing the automation of the world’s largest machinery with cutting-edge intelligence. Our innovative Physical AI empowers heavy machinery, such as wheel loaders, to adapt instantly to changing environments and undertake new tasks without prior training.By integrating advanced robotics into our platform, we are launching intelligence and automation products that significantly enhance productivity and safety for our clients in the mining, construction, and related sectors.Join us in redefining the automation landscape for heavy industries and making a substantial impact.

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Suchst du nach einem flexiblen Job? Werde Teil von WMD!Bei WMD stehen die Menschen im Mittelpunkt unseres Schaffens.Als Experten für Alltagshelden unterstützen wir deutschlandweit Personen, die aufgrund gesundheitlicher Einschränkungen im Alltag Hilfe benötigen. Hinter jeder Anfrage steht eine persönliche Geschichte – und genau hier setzen wir an: mit Empathie, Zuverlässigkeit und einem umfassenden Rundum-sorglos-Paket. Von der Antragstellung bis zur Organisation der Haushaltshilfe begleiten wir unsere Klienten Schritt für Schritt.Möchtest du arbeiten, ohne dass Familie, Studium oder Freizeit zu kurz kommen? Dann bist du bei WMD – Alltagshelden genau richtig.Deine Aufgaben – sinnvoll und abwechslungsreichDu unterstützt Menschen in unterschiedlichen Lebenssituationen mit Empathie und Vertrauen:Wohnraumpflege mit Liebe zum DetailDu sorgst für Sauberkeit und eine angenehme Wohlfühlatmosphäre im Zuhause unserer Klienten.Wäschepflege mit SorgfaltWaschen, Trocknen und Bügeln gehören zu Deinen Aufgaben.Alltagsunterstützung beim Einkaufen und KochenDu erledigst Besorgungen eigenständig und hilfst bei der Zubereitung einfacher Mahlzeiten.Kinderbetreuung (nach Bedarf)Mit Geduld und Einfühlungsvermögen betreust Du Kinder verantwortungsvoll und unterstützt Eltern im Alltag.Jeder Einsatz ist individuell und genau das macht Deine Arbeit so wertvoll.

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Die AcadeMedia Education GmbH ist Teil der skandinavischen Bildungsgruppe AcadeMedia AB, die sich leidenschaftlich der Entwicklung innovativer Lehrkonzepte widmet. Unsere Schüler in den allgemeinbildenden und berufsbildenden Schulen profitieren von einem internationalen Bildungsnetzwerk. Unser Ziel ist es, jungen Menschen den Übergang ins Berufsleben zu erleichtern und sie optimal auf ihre beruflichen Ziele vorzubereiten.Wir suchen für unsere Internationale Gesamtschule in Potsdam zum nächstmöglichen Zeitpunkt eine engagierte und dynamische Lehrkraft für Wirtschaftswissenschaften für die Sekundarstufe II (m/w/d).Deine Aufgaben:Wirtschaftsverständnis fördern: Du gestaltest ansprechenden und praxisnahen Unterricht in Volkswirtschaftslehre, Betriebswirtschaftslehre und grundlegenden wirtschaftlichen Kompetenzen.Kritisches Denken anregen: Du hilfst den Schülern, wirtschaftliche Zusammenhänge zu verstehen und verantwortungsbewusste Entscheidungen zu treffen.Kompetenzorientierter Unterricht: Du bereitest die Lernenden gezielt auf Klausuren, Prüfungen und das Abitur vor.Moderne Lehrmethoden anwenden: Du integrierst digitale Medien und innovative Lehrmethoden in den Unterricht.Individuelle Förderung: Du berücksichtigst unterschiedliche Lernstände und gestaltest differenzierten Unterricht.Leistung fair bewerten: Du erstellst transparente Leistungsnachweise und begleitest Lernprozesse konstruktiv.Aktive Mitgestaltung des Schullebens: Du beteiligst dich aktiv an Fachgruppen, Projekten und der Weiterentwicklung der Schule.Unsere Angebote: Wir bieten dir eine sichere und zukunftsorientierte Arbeitsumgebung mit zahlreichen Vorteilen.

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