At ARX Robotics, you will help advance the autonomy stack of next-generation unmanned ground vehicles.
Lead an organization of 25-30 engineers, data scientists, and ML practitioners across Berlin, Warsaw, NYC, Boulder, and Toronto, through a l
Aptiv is a global technology leader with more than 200,000 employees across 48 countries.
Gehalt: ab EUR 4.355 brutto/Monat Become part of a vital chain and contribute to our common goal of making people’s lives better.
MS or PhD in computer vision, machine learning, computer science, or a related field, or equivalent practical experience - 5-7+ years of han
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Huawei s Heisenberg Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence - work on
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Tabular data breaks the assumptions that make scaling work for language and vision.
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence -
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Intro Hamburg | €70.000,00 - €80.000,00 p.a.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
Master s degree or PhD in Computer Science, Information Systems, Robotics, Computer Vision, or a related field.
When travelers are searching for a hotel, we want the obvious choice to be trivago!
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
At ARX Robotics, you will help advance the autonomy stack of next-generation unmanned ground vehicles. As a Staff Engineer – Sensor Fusion & Localization, you will develop core state estimation and sensor fusion systems that enable robots to understand their position and motion in complex, GPS-denied environments. You will work across autonomy, perception, hardware, and software teams to integrate advanced algorithms into a cohesive and reliable platform for real-world deployment.
Your contributions will directly influence how autonomous and teleoperated systems operate in demanding field conditions where precision, robustness, and low latency are critical. What You’ll Build - Develop advanced sensor fusion and state estimation algorithms for robust localization in GPS-denied environments - Implement and improve methods such as EKF, UKF, particle filters, and nonlinear observers for state estimation and factor graph-based SLAM methods - Fuse and synchronize data from cameras, LiDAR, radar, IMUs, GNSS, magnetometers, and barometers into reliable real-time state estimates - Design low-latency, real-time processing pipelines for autonomous robotic systems - Build and refine localization performance through simulation, controlled testing, and real-world validation under degraded sensing conditions - Collaborate closely with hardware and software teams to ensure accurate calibration, synchronization, and system integration - Prototype, evaluate, and deploy new multi-sensor fusion and estimation approaches - Debug and resolve complex issues across sensor data, calibration, and estimation pipelines - Contribute to resilient GPS-denied navigation capabilities for autonomous ground vehicles
Advanced degree (MSc or higher) in Robotics, Computer Vision, Electrical Engineering, or a related field - 8+ years of professional experience developing real-time sensor fusion and localization pipelines (e.g., SLAM, multi-sensor tracking) or state-estimation architecture for autonomous systems in regulated sectors (e.g., robotics, defence, aerospace, or marine). - Strong C++ development skills with experience debugging complex robotics systems. - Deep expertise in sensor fusion and state estimation methods, including EKF, UKF, particle filters, and nonlinear estimation techniques - Solid understanding of inertial navigation and visual-inertial concepts - Hands-on experience integrating and calibrating multi-sensor systems (LiDAR, camera, IMU, GNSS, radar) - Strong foundation in linear algebra, probability theory, and 3D geometry - Experience working with ROS2 and simulation environments for algorithm development and validation - Familiarity with Linux-based development workflows, CI/CD pipelines, and modern robotics software practices - A structured, self-driven approach with strong problem-solving and debugging skills in complex systems - Experience with Python, CUDA or edge computing platforms are beneficial - Familiarity with ML frameworks such as PyTorch, TensorRT, or vision libraries like OpenCV are a plus Please note: You do not need to meet every single requirement to apply. We welcome motivated candidates who are eager to grow into the role and develop their expertise further.
Join a mission-driven European defense tech company at a pivotal stage of growth, where you can help shape meaningful technology, take ownership early, and grow with the business! - Competitive compensation package including a bonus opportunity - 27 vacation days to start, increasing with tenure up to 30 days - Employer-supported pension contribution - Learning & development support and team events budget - Employee discounts and flexible benefits budget via Probonio - Hybrid working setup depending on role and team needs - Structured salary bands, levelling framework, and bi-annual development conversations
ARX is a dual-use technology company that specializes in developing autonomous unmanned systems and sensors for the European defence sector. Our dual-use unmanned ground systems and sensors assist NATO Armies and civilian first responders in tackling their most challenging problems by providing them with training and information to make better decisions and take effective actions in life-or-death situations. As our team continues to expand rapidly, we are seeking motivated candidates who are excited to work in a highly energetic, creative, and innovative team dedicated to developing autonomous systems for challenging environments.
We operate in a dynamic sector where collaboration, sharing innovative ideas, and developing novel problem-solving strategies are ingrained in our work culture. If you are passionate about overcoming challenges that have a real impact on the security of our democracies, apply here to join ARX and help shape the future of dual-use technology! ARX is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply.
You can find ARX Robotics Applicant Privacy Policy here.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.