Senior Robotics Simulation Engineer (f-m-d)

As a Senior Robotics Simulation Engineer at Aptiv, you will design and develop high-fidelity simulation environments for autonomous mobile robots and drones, including digital twins of industrial settings. You will build sensor models, automated validation pipelines, and synthetic data generation to support AI training and algorithm testing. Collaborating with perception and hardware teams, you will bridge simulation and reality to accelerate development cycles and ensure robust system performance across multiple robot platforms.

Responsibilities

• Design, develop, and maintain high-fidelity simulation environments for AMRs and drone platforms using industry-standard tools such as Isaac Sim, Gazebo, ROS 2 and NVIDIA Omniverse.
• Build digital twins of warehouse, manufacturing, and industrial environments to support algorithm development, testing, and customer demonstrations.
• Develop simulation models for sensors including Radar, cameras, Lidar, IMUs, GPS, radar depth sensors with realistic environmental effects and noise profiles.
• Create automated validation and testing pipelines that support continuous integration and continuous deployment (CI/CD) of robotics software.
• Generate synthetic datasets for training and validation of AI, perception, and navigation algorithms.
• Develop tools and metrics to measure simulation fidelity and evaluate sim-to-real performance.
• Collaborate with autonomy and controls teams to validate perception, localization, mapping, planning, and motion-control algorithms at scale.
• Build large-scale scenario generation and regression testing frameworks to ensure safety and reliability under diverse operating conditions.
• Support Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), and Model-in-the-Loop (MIL) testing workflows.
• Partner with product and customer teams to reproduce field issues in simulation and accelerate root-cause analysis.
• Contribute to the overall simulation strategy and technology roadmap for Aptiv Robotics.

Requirements

• MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field.
• 5+ years of experience developing simulation environments for robotics, autonomous systems, automotive, aerospace, or related domains.
• Strong programming skills in Python and C++.
• Hands-on experience with ROS 2 and modern robotics software architectures.
• Experience with robotics simulation platforms such as NVIDIA Isaac Sim, Omniverse, Gazebo, Webots, Unity, or Unreal Engine.
• Deep understanding of robotics fundamentals, including perception, localization, mapping, motion planning, controls, and sensor fusion.
• Experience developing models for robotic sensors and vehicle dynamics.
• Hands-on experience with Blender, 3D modeling tools, or CAD software for creating and preparing simulation assets.
• Familiarity with cloud-based simulation, distributed testing, and large-scale scenario execution.
• Strong debugging, analytical, and problem-solving skills.

Nice to have

• Experience with AMRs, drones, autonomous vehicles, or industrial robotics platforms.
• Knowledge of synthetic data generation for machine learning and computer vision applications.
• Experience with reinforcement learning, AI-driven simulation workflows, or digital twin technologies.
• Familiarity with GPU-accelerated simulation environments and NVIDIA robotics ecosystems.
• Experience building simulation frameworks used for safety-critical autonomous systems.

Benefits

• Our working style: flexible work environment Learning, professional growth and development in a world-recognized international environment.
• Access to internal & external training, coaching & certifications.
• Recognition for innovation and excellence.
• Opportunities to give back to the community