Senior Edge AI & Robotics Architect

Senior Edge AI & Robotics Architect

Aptiv is a global technology leader with more than 200,000 employees across 48 countries. We develop advanced software, compute platforms, and intelligent systems that enable autonomous driving, advanced driver-assistance systems (ADAS), connected mobility, and intelligent infrastructure. Aptiv technology is embedded in millions of vehicles worldwide and powers some of the industry's most advanced automotive platforms.

As part of our expansion into Robotics and Adjacent Markets, Aptiv is developing scalable Edge AI and intelligent computing platforms for autonomous mobile robots (AMRs), drones, industrial automation, and next-generation intelligent machines. These platforms combine edge AI, heterogeneous compute, embedded software, safety-critical systems, and cloud-connected architectures to deliver real-world autonomy and decision-making at the edge.

• 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.

• 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.

• 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.

• 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.

• 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, Hailo, 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.

• 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.

• You can grow at Aptiv.Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
• You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
• You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.