Aptiv
Lead Systems Engineer(m/w/x)
Vollzeitnur vor OrtSenior
Wuppertal
Neuer Job?Nejo!
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APAptiv
Localization Architect - Robotics & Drones(m/w/x)
Wuppertal
VollzeitVor OrtSenior
Nejo KI-Zusammenfassung
Designing multi-sensor fusion for AMR and drone localization. 8+ years in robotics localization and SLAM required. 30 days vacation, overtime compensation.
Anforderungen
- Bachelor's or Master's degree in Robotics, Computer Science, Electrical/Computer Engineering, or equivalent practical experience
- 8+ years of software development experience in localization, SLAM, or state estimation
- Proven experience deploying localization systems on robots (AMRs, AGVs, drones, or similar vehicle platforms)
- Strong theoretical and practical understanding
- Probabilistic state estimation understanding
- Sensor fusion understanding (IMU, wheel odometry, LiDAR, vision, GNSS)
- 2D and 3D SLAM pipelines understanding
- Hands-on experience with ROS / ROS 2 (message design, lifecycle nodes, parameters, tooling)
- Experience with real-time constraints, synchronization, and time-sensitive data pipelines
- Strong Linux systems knowledge and middleware experience (DDS or similar)
- Ability to produce clear architecture documents, data flows, algorithm explanations, and interface definitions
- Excellent communication skills and ability to explain complex localization concepts to cross-functional audiences
- Experience with localization in industrial or commercial environments (warehousing, logistics, manufacturing)
- Familiarity with functional safety standards relevant to mobile robots (IEC 61508, ISO 13849, ISO 3691-4, ISO 10218)
- Experience with heterogeneous compute platforms (NVIDIA, Qualcomm, TI, Renesas) and acceleration of perception/localization pipelines
- Hands-on experience with simulation tools (Gazebo, Isaac Sim, or custom data playback frameworks)
- Experience handling challenging localization conditions
- Experience with feature-sparse or repetitive environments
- Experience with dynamic scenes with moving objects
- Experience with long-term map maintenance and change detection
- Exposure to cloud or fleet-level localization concepts (map distribution, versioning, fleet-wide updates)
- Background in start-up or incubation environments with high ambiguity and fast iteration
- Experience debugging numerical stability, sensor timing, and real-world estimator failures
- Familiarity with cybersecurity considerations related to sensor data and localization integrity
Aufgaben
- Own end-to-end localization and state estimation architecture for AMR and drone platforms
- Define and standardize localization approaches across platforms
- Design multi-sensor fusion architectures for accurate, drift-resilient pose estimates
- Specify integration of localization with perception, planning, control, safety, and fleet systems
- Set system-level performance targets for localization
- Partition localization functionality across onboard and offboard compute
- Lead localization design reviews and technical trade studies
- Guide algorithm selection and tuning for different environments
- Provide technical direction to teams implementing SLAM, odometry, sensor fusion, and map management
- Establish best practices for localization robustness
- Mentor engineers on localization algorithms, estimation theory, and production-quality implementation
- Architect localization systems to support safety requirements
- Define localization-related safety concepts
- Collaborate with safety engineering on hazard analyses and safety cases
- Drive strategies for redundancy, observability, and field reliability
- Define simulation and recorded data replay support for localization
- Specify simulation needs for testing sensor noise models, environmental variation, and degenerate cases
- Shape localization validation strategies, regression testing, and performance benchmarking
- Evaluate and integrate open-source localization frameworks and third-party SDKs
- Translate customer and operational requirements into localization performance targets
- Support PoCs, demos, and early deployments by guiding localization setup, tuning, and debugging
- Influence technical roadmaps and build-vs-buy decisions
- Engage with ecosystem partners to align technology direction with platform goals
Berufserfahrung
- 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Robotics
- Computer Science
- Electrical/Computer Engineering
- Localization
- SLAM
- State Estimation
- AMRs
- AGVs
- Drones
- ROS
- ROS 2
- Linux
- DDS
- Gazebo
- Isaac Sim
Benefits
Mehr Urlaubstage
- 30 days of vacation
Attraktive Vergütung
- Overtime compensation
Sicherer Arbeitsplatz
- Secure permanent employment
- Safety focus
Weiterbildungsangebote
- Internal development opportunities
- Access to training, coaching, and certifications
Lockere Unternehmenskultur
- International environment
- Collegial environment
- Inclusive work environment
Sonstige Vorteile
- Recognition of innovation and excellence
- Collaboration with technical experts
Gemeinnützige Ausrichtung
- Involvement in CSR activities
Startup-Atmosphäre
- Opportunity to shape mobility future
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Aptiv erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Localization Architect - Robotics & Drones(m/w/x)
Wuppertal
VollzeitVor OrtSenior
Nejo KI-Zusammenfassung
Designing multi-sensor fusion for AMR and drone localization. 8+ years in robotics localization and SLAM required. 30 days vacation, overtime compensation.
Anforderungen
- Bachelor's or Master's degree in Robotics, Computer Science, Electrical/Computer Engineering, or equivalent practical experience
- 8+ years of software development experience in localization, SLAM, or state estimation
- Proven experience deploying localization systems on robots (AMRs, AGVs, drones, or similar vehicle platforms)
- Strong theoretical and practical understanding
- Probabilistic state estimation understanding
- Sensor fusion understanding (IMU, wheel odometry, LiDAR, vision, GNSS)
- 2D and 3D SLAM pipelines understanding
- Hands-on experience with ROS / ROS 2 (message design, lifecycle nodes, parameters, tooling)
- Experience with real-time constraints, synchronization, and time-sensitive data pipelines
- Strong Linux systems knowledge and middleware experience (DDS or similar)
- Ability to produce clear architecture documents, data flows, algorithm explanations, and interface definitions
- Excellent communication skills and ability to explain complex localization concepts to cross-functional audiences
- Experience with localization in industrial or commercial environments (warehousing, logistics, manufacturing)
- Familiarity with functional safety standards relevant to mobile robots (IEC 61508, ISO 13849, ISO 3691-4, ISO 10218)
- Experience with heterogeneous compute platforms (NVIDIA, Qualcomm, TI, Renesas) and acceleration of perception/localization pipelines
- Hands-on experience with simulation tools (Gazebo, Isaac Sim, or custom data playback frameworks)
- Experience handling challenging localization conditions
- Experience with feature-sparse or repetitive environments
- Experience with dynamic scenes with moving objects
- Experience with long-term map maintenance and change detection
- Exposure to cloud or fleet-level localization concepts (map distribution, versioning, fleet-wide updates)
- Background in start-up or incubation environments with high ambiguity and fast iteration
- Experience debugging numerical stability, sensor timing, and real-world estimator failures
- Familiarity with cybersecurity considerations related to sensor data and localization integrity
Aufgaben
- Own end-to-end localization and state estimation architecture for AMR and drone platforms
- Define and standardize localization approaches across platforms
- Design multi-sensor fusion architectures for accurate, drift-resilient pose estimates
- Specify integration of localization with perception, planning, control, safety, and fleet systems
- Set system-level performance targets for localization
- Partition localization functionality across onboard and offboard compute
- Lead localization design reviews and technical trade studies
- Guide algorithm selection and tuning for different environments
- Provide technical direction to teams implementing SLAM, odometry, sensor fusion, and map management
- Establish best practices for localization robustness
- Mentor engineers on localization algorithms, estimation theory, and production-quality implementation
- Architect localization systems to support safety requirements
- Define localization-related safety concepts
- Collaborate with safety engineering on hazard analyses and safety cases
- Drive strategies for redundancy, observability, and field reliability
- Define simulation and recorded data replay support for localization
- Specify simulation needs for testing sensor noise models, environmental variation, and degenerate cases
- Shape localization validation strategies, regression testing, and performance benchmarking
- Evaluate and integrate open-source localization frameworks and third-party SDKs
- Translate customer and operational requirements into localization performance targets
- Support PoCs, demos, and early deployments by guiding localization setup, tuning, and debugging
- Influence technical roadmaps and build-vs-buy decisions
- Engage with ecosystem partners to align technology direction with platform goals
Berufserfahrung
- 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Robotics
- Computer Science
- Electrical/Computer Engineering
- Localization
- SLAM
- State Estimation
- AMRs
- AGVs
- Drones
- ROS
- ROS 2
- Linux
- DDS
- Gazebo
- Isaac Sim
Benefits
Mehr Urlaubstage
- 30 days of vacation
Attraktive Vergütung
- Overtime compensation
Sicherer Arbeitsplatz
- Secure permanent employment
- Safety focus
Weiterbildungsangebote
- Internal development opportunities
- Access to training, coaching, and certifications
Lockere Unternehmenskultur
- International environment
- Collegial environment
- Inclusive work environment
Sonstige Vorteile
- Recognition of innovation and excellence
- Collaboration with technical experts
Gemeinnützige Ausrichtung
- Involvement in CSR activities
Startup-Atmosphäre
- Opportunity to shape mobility future
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Aptiv erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Über das Unternehmen
Aptiv
Branche
IT
Beschreibung
Das Unternehmen ist ein weltweit führender Automobilzulieferer mit einem Umsatz von über 20 Mrd. USD jährlich.
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