Senior Edge AI & Robotics Engineer - Aptiv, Wuppertal

Apply for the Senior Edge AI & Robotics Engineer Job, Aptiv, Wuppertal, Germany. Tech Jobs in Europe from EuroTechJobs.com Senior Edge AI & Robotics Engineer - Aptiv, Wuppertal Job Search Search for Jobs 0 Saved Jobs Jobs Expiring Soon Search for Jobs My Profile Login Register CV Job Alerts Newsletter Career Guides Saved Jobs ( 0 ) Jobs Expiring Soon Login Register CV Job Alerts Career Guides Conferences Post a Job Recruiter Recruiters Guide Recruiters Recruiters Guide Senior Edge AI & Robotics Engineer Saved Save this Job Saved Save Senior Edge AI & Robotics Engineer Aptiv Wuppertal, Germany As a Senior Edge AI & Robotics Engineer, you will serve as a hands-on technical leader focused on the deployment, optimization, and scaling of AI workloads on embedded and edge computing platforms. You will work at the intersection of AI, embedded systems, software architecture, and heterogeneous computing, enabling production-ready AI solutions that operate under real-world constraints for performance, latency, power, memory, reliability, and safety. Experience with robotics, autonomy is highly valued but not required. Key Responsibilities Edge AI Platform Development Design, develop, and deploy AI/ML solutions on embedded and edge computing platforms; Optimize inference performance across CPU, GPU, NPU, DSP, FPGA, and heterogeneous SoC architectures; Build scalable Edge AI software pipelines supporting computer vision, sensor fusion, multimodal AI, and real-time decision-making applications; Deploy and optimize models using frameworks such as TensorRT, ONNX Runtime, OpenVINO, TFLite, TVM, or equivalent technologies; Drive model optimization through quantization, pruning, compression, distillation, and hardware acceleration techniques; Develop reusable software frameworks and deployment workflows that can scale across multiple product lines and hardware platforms. Embedded Systems & Software Engineering Develop high-performance software in C/C++ for embedded and edge AI applications; Optimize performance, memory utilization, power consumption, startup time, and system throughput; Design software architectures that enable portability across different hardware platforms and operating environments; Work with Linux-based embedded systems, RTOS environments, containerization technologies, and cross-compilation toolchains; Collaborate closely with hardware teams to influence compute architecture, accelerator selection, sensor integration, and platform trade-offs. Edge AI Validation & Production Readiness Define benchmarking, profiling, and validation strategies for AI applications deployed at the edge; Establish performance, reliability, robustness, and scalability metrics; Support the transition from research prototypes to production-grade software solutions; Develop automated testing, integration, and deployment workflows and CI/CD pipelines; Collaborate with safety, systems, and quality teams to support safety-critical and mission-critical deployments. Robotics & Intelligent Systems (Preferred) Contribute to Edge AI solutions deployed in robotics, autonomous systems, industrial automation, and intelligent machines; Support integration with robotics middleware and autonomy stacks where applicable; Collaborate with robotics teams on perception, localization, planning, and control powered by Edge AI. Basic Qualifications Master's degree or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Robotics, Computer Engineering, or a related discipline; 5+ years of experience developing and deploying AI/ML workloads on embedded or edge computing platforms; Experience with NVIDIA Jetson, Qualcomm, TI, NXP, Renesas, AMD, Intel, or similar embedded AI platforms; Expert level proficiency in C/C++ and Python; Hands-on experience with AI model deployment and optimization on resource-constrained systems; Deep understanding of AI inference frameworks, model optimization techniques, and heterogeneous compute architectures; Experience with Linux-based embedded systems and cross-compilation workflows; Strong understanding of system-level performance optimization, profiling, and debugging; Ability to communicate complex technical concepts effectively across multidisciplinary teams. Preferred Qualifications Experience with ROS 2, DDS, robotics middleware, or autonomous systems development; Experience deploying computer vision, multimodal AI, perception, or sensor-fusion applications; Background in robotics, drones, AGVs/AMRs, industrial automation, or intelligent machines; Experience with Docker containers, CI/CD pipelines, DevOps automation, and/or MLOps practices for deploying and managing machine learning solutions in production environments; Experience with simulation environments such as Isaac Sim, Gazebo, CARLA, or digital twin platforms; Knowledge of functional safety standards and safety-critical development processes, including ISO 26262, IEC 61508, or related standards; Experience with Rust or other modern systems programming languages. Apply Now Don't forget to mention EuroTechJobs when applying. 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