Aptiv
Lead Systems Engineer(m/w/x)
Full-timeOn-siteSenior
Wuppertal
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APAptiv
Localization Architect - Robotics & Drones(m/w/x)
Wuppertal
Full-timeOn-siteSenior
Nejo AI Summary
Designing multi-sensor fusion for AMR and drone localization. 8+ years in robotics localization and SLAM required. 30 days vacation, overtime compensation.
Requirements
- 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
Tasks
- 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
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Robotics
- Computer Science
- Electrical/Computer Engineering
- Localization
- SLAM
- State Estimation
- AMRs
- AGVs
- Drones
- ROS
- ROS 2
- Linux
- DDS
- Gazebo
- Isaac Sim
Benefits
More Vacation Days
- 30 days of vacation
Competitive Pay
- Overtime compensation
Job Security
- Secure permanent employment
- Safety focus
Learning & Development
- Internal development opportunities
- Access to training, coaching, and certifications
Informal Culture
- International environment
- Collegial environment
- Inclusive work environment
Other Benefits
- Recognition of innovation and excellence
- Collaboration with technical experts
Social Impact
- Involvement in CSR activities
Startup Environment
- Opportunity to shape mobility future
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Aptiv and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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APAptiv
Localization Architect - Robotics & Drones(m/w/x)
Wuppertal
Full-timeOn-siteSenior
Nejo AI Summary
Designing multi-sensor fusion for AMR and drone localization. 8+ years in robotics localization and SLAM required. 30 days vacation, overtime compensation.
Requirements
- 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
Tasks
- 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
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Robotics
- Computer Science
- Electrical/Computer Engineering
- Localization
- SLAM
- State Estimation
- AMRs
- AGVs
- Drones
- ROS
- ROS 2
- Linux
- DDS
- Gazebo
- Isaac Sim
Benefits
More Vacation Days
- 30 days of vacation
Competitive Pay
- Overtime compensation
Job Security
- Secure permanent employment
- Safety focus
Learning & Development
- Internal development opportunities
- Access to training, coaching, and certifications
Informal Culture
- International environment
- Collegial environment
- Inclusive work environment
Other Benefits
- Recognition of innovation and excellence
- Collaboration with technical experts
Social Impact
- Involvement in CSR activities
Startup Environment
- Opportunity to shape mobility future
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Aptiv and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Aptiv
Industry
IT
Description
Das Unternehmen ist ein weltweit führender Automobilzulieferer mit einem Umsatz von über 20 Mrd. USD jährlich.
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