Simulation Engineer (Autonomous Driving)

We are looking for the best

We are seeking a highly skilled Simulation Engineer to join our Autonomous Driving organization. As a Simulation Engineer, you will play a key role in developing and maintaining advanced simulation environments to validate and verify the performance of our autonomous driving systems. You will work closely with cross-functional teams to ensure the robustness, scalability, and accuracy of our simulation tools.

• Develop and maintain high-fidelity simulation environments for testing autonomous driving algorithms and software
• Implement realistic vehicle models, sensor models, and environmental models within the simulation framework
• Design and execute simulation experiments to validate and verify the performance of perception, planning, and control algorithms
• Collaborate with software engineers, robotics engineers, and data scientists to integrate simulation tools into the development pipeline
• Analyze simulation results and provide actionable insights to improve the performance and reliability of autonomous driving systems
• Stay up-to-date with the latest advancements in simulation technology and incorporate them into our development processes

• M.S or Ph.D. degree in a relevant engineering program
• Have a minimum of 7 years of relevant experience
• Having excellent programming skills (C/C++/Python, etc.)
• Proficient in using simulation software, such as Carla, CarSim, Simulink, or similar tools
• Understanding of self-driving stack and cloud technologies
• Project experience aligned to simulation, autonomous vehicles, or robotics
• Proficient in working with cloud technologies (AWS, GCP, Azure, etc.)
• Skilled in working with middleware development and integration (e.g., ROS/ROS2)
• Comfortable with Linux, Git, and SQL
• Possess communication skills for collaboration with other teams

Please refer to the videos from KCCV 2022 and UMOS Day 2021 for insights into 42dot Autonomous Driving, our autonomous driving AI software.

Please upload all submission files in PDF format.

※ Please review the following information before applying.

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