Carla Simulation Jobs in Michigan (NOW HIRING)

Job Description:

• We are seeking a Simulation & Scenario Engineer to support Level 3 and Level 4 automated driving development through scenario-based validation and virtual testing.
• This role focuses on designing, building, and executing complex driving scenarios from scratch in simulation environments, with a strong emphasis on safety, robustness, and edge-case handling.
• The ideal candidate has hands-on experience in ADAS or autonomous driving simulation and understands system behavior in complex, safety-critical environments.

Education:

• BS or MS Degree in Computer Science, Robotics, Automotive Engineering, Systems Engineering, or equivalent.

Experience Requirements:

• 3+ years (Level 3 focus) or 5+ years (Level 4 focus) in ADAS or autonomous driving environments.
• Proven experience creating simulation scenarios from scratch (not limited to log replay).
• Strong exposure to scenario-based validation and system behavior evaluation.
• Experience working within defined ODDs (Operational Design Domains).
• Safety-related experience (simulation validation, safety analysis, system behavior modeling).
• Strong Python development experience in Linux environment (CLI-based workflows).
• Hands-on experience with simulation tools such as:
  • Applied Intuition
  • MATLAB / Simulink
  • CARLA
  • LGSVL Simulator
  • Or equivalent platforms

Key Responsibilities:

• Design and build autonomous driving simulation scenarios from scratch.
• Recreate real-world traffic situations across different environments (urban, semi-urban, highway).
• Configure and control dynamic agents (vehicles, pedestrians, cyclists, traffic actors) programmatically.
• Develop, modify, and maintain Python scripts to generate and execute simulation pipelines.
• Execute simulations via command-line interfaces and manage configurations.
• Assess system behavior with strong focus on:
  • Safety
  • Robustness
  • Edge-case handling
  • Fallback / takeover logic (Level 3)
  • Full autonomy behavior (Level 4)
• Identify unrealistic, unsafe, or inconsistent behaviors and support corrective improvements.
• Support validation, verification, and safety compliance activities (e.g., ISO 26262 awareness).
• Collaborate cross-functionally with perception, planning, controls, and safety teams.
• Document simulation assumptions, configurations, and validation results.

Profile:

• Simulation Engineer - ADAS / Autonomous Driving
• Mid to Senior Level
• Strong analytical and systems-thinking mindset
• Safety-oriented and detail-driven
• Hands-on and technically proactive
• Comfortable working in fast-paced, agile environments

Must Have:

• Experience building simulation scenarios from scratch.
• Strong exposure to ADAS or autonomous driving systems.
• Solid Python scripting experience.
• Comfortable working in Linux and command-line environments.
• Experience configuring and controlling simulation agents programmatically.
• Understanding of vehicle behavior in safety-critical and complex environments.
• Ability to debug and modify simulation models and scripts.
• Experience collaborating in cross-functional engineering teams.

Good to Have:

• Experience in Level 3 takeover/fallback validation.
• Experience in Level 4 urban autonomy or robotaxi programs.
• Exposure to edge-case generation and scenario explosion methodologies.
• Knowledge of ISO 26262 or automotive safety processes.
• Experience with perception, planning, or sensor fusion validation.
• Experience in large-scale simulation automation pipelines.
• Experience working in global or multicultural teams.
• Ability to mentor junior engineers.