AI Simulation Engineer IV (Lehi)

Title: AI Simulation Engineer IV
Location : Salt Lake City region
Target Start Date : ASAP
Type: Contract-to-Hire (Direct Hire possible)
Pay Rate: $72.00-$85.00/hr ($150K-$175K)

Overview
Our client, a leader and growing presence in the robotics and autonomous vehicles space, is seeking a senior-level AI Simulation Engineer to develop simulation-driven AI training and validation systems that accelerate safe, scalable autonomous deployment. This role fuses real-world data, high-fidelity simulation, and AI pipelines to improve robustness, edge-case coverage, and system reliability across research and product environments.
You will collaborate with autonomy, robotics, perception, planning, and controls teams to create closed-loop workflows that continuously enhance model performance using simulated and on-field data.

• Build closed-loop pipelines connecting real-world telemetry to simulation and AI training
• Develop high-fidelity simulation environments and automated validation pipelines
• Generate synthetic scenarios, long-tail events, and edge cases to strengthen AI robustness
• Integrate perception, planning, control, and vehicle dynamics models into simulation platforms
• Create tools to measure safety margins, regression trends, and performance metrics
• Optimize simulation infrastructure across local, cloud, and GPU-accelerated compute
• Continuously refine simulation workflows to improve realism and development velocity
• Partner cross-functionally to ensure simulation reflects real operational behavior

• Bachelor's degree in Computer Science, Engineering, Robotics, or related field
• 5 years in simulation, robotics, or AI engineering
• 2 years hands-on AI/ML experience
• Strong proficiency in Python (C a plus)
• Experience with simulation environments, synthetic data, and scenario generation
• Familiarity with perception, planning, control, or vehicle dynamics systems
• Experience with cloud, distributed, and GPU-based compute environments
• Strong analytical, debugging, and cross-functional collaboration skills

• Generative modeling, data augmentation, or synthetic data pipelines
• Autonomous vehicle, robotics, or heavy equipment domain experience
• CI/CD and automated testing for simulation pipelines

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