Simulation Engineer – Autonomous Driving
| Company | 42dot |
|---|---|
| Location | Mountain View, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- 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
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
Preferred Qualifications
-
No preferred qualifications provided.