Simulation Engineer (Autonomous Driving)

Simulation Engineer (Autonomous Driving)

Mountain View, United States

42dot Full-time

We are looking for the best

We are seeking a highly skilled Simulation Engineer to join our Autonomous Driving team. 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.

Responsibilities

• 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

Qualifications

• M.S or Ph.D. degree in a relevant engineering program
• Have a minimum of 7 years of relevant experience
• 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