AI Engineer IV (Simulation)
Autonomous Solutions, Inc. (ASI)
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Lehi, UT
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Not Applicable
Posted April 17, 2026
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Responsibilities
Commitments
Responsibilities
- Build closed-loop systems connecting field data to simulation and back to real-world performance.
- Develop simulation-driven workflows that generate diverse scenarios, edge cases, and long-tail events.
- Integrate perception, planning, control, and vehicle dynamics models into simulation environments.
- Create automated validation pipelines that stress-test autonomy across environments, terrain, and failure modes.
- Enhance simulation fidelity using real-world telemetry, sensor data, and environmental conditions.
- Use generative models or data augmentation to expand scenario coverage and reduce field testing costs.
- Develop tools that measure model performance, regression trends, and safety margins in simulation.
- Optimize simulation infrastructure for speed and scalability across local, cloud, and distributed compute.
Commitments
Ability to remain in a stationary position at a computer workstation for extended periods.
Ability to operate a computer and other office productivity equipment continuously.
Ability to communicate and exchange information in person, via phone, and through electronic means.
Ability to traverse office, lab, data center, and field environments as required.
At Autonomous Solutions Inc , we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities.
Autonomous Solutions Inc complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.
Not Met Priorities
What still needs stronger evidence
Requirements
- Experience in AI, robotics, simulation engineering, or ML model development.
- Strong understanding of simulation environments, synthetic data workflows, or scenario generation.
- Experience integrating AI models into simulation frameworks for training or validation.
- Proficiency in Python, C++, or similar languages for simulation and AI development.
- Experience with robotics concepts such as perception, planning, control, or vehicle dynamics.
- Ability to convert real-world data into simulated scenarios that expose edge cases and system weaknesses.
- Experience with cloud simulation infrastructure, distributed compute, or GPU-accelerated workloads.
- Ability to remain in a stationary position at a computer workstation for extended periods.
- Ability to operate a computer and other office productivity equipment continuously.
- Ability to communicate and exchange information in person, via phone, and through electronic means.
- Ability to traverse office, lab, data center, and field environments as required.
Autonomous Solutions Inc builds autonomous systems for fleets operating in demanding, high-risk, and repetitive environments. Founded in 2000, we've grown into one of the largest privately held robotics companies in the world, with deployments across heavy construction, agriculture, logistics, and landscaping. Our work is guided by seven core values: Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy, and Growth. Being privately held means good ideas move quickly, ownership is real, and the work you do here shows up in the world.
As an AI Engineer IV (Simulation) , you will build the systems that close the loop between real-world autonomous operations and simulation. You will develop AI-driven training workflows, automated validation pipelines, and scenario generation tools that accelerate safe autonomous deployment. Your work directly shapes how the autonomy stack performs in the field by keeping simulation grounded in real-world data, edge cases, and operational constraints.
Responsibilities
Build closed-loop systems connecting field data to simulation and back to real-world performance.
Develop simulation-driven workflows that generate diverse scenarios, edge cases, and long-tail events.
Integrate perception, planning, control, and vehicle dynamics models into simulation environments.
Create automated validation pipelines that stress-test autonomy across environments, terrain, and failure modes.
Enhance simulation fidelity using real-world telemetry, sensor data, and environmental conditions.
Use generative models or data augmentation to expand scenario coverage and reduce field testing costs.
Develop tools that measure model performance, regression trends, and safety margins in simulation.
Optimize simulation infrastructure for speed and scalability across local, cloud, and distributed compute.
Qualifications
Experience in AI, robotics, simulation engineering, or ML model development.
Strong understanding of simulation environments, synthetic data workflows, or scenario generation.
Experience integrating AI models into simulation frameworks for training or validation.
Proficiency in Python, C++, or similar languages for simulation and AI development.
Experience with robotics concepts such as perception, planning, control, or vehicle dynamics.
Ability to convert real-world data into simulated scenarios that expose edge cases and system weaknesses.
Experience with cloud simulation infrastructure, distributed compute, or GPU-accelerated workloads.
Physical Requirements
Ability to remain in a stationary position at a computer workstation for extended periods.
Ability to operate a computer and other office productivity equipment continuously.
Ability to communicate and exchange information in person, via phone, and through electronic means.
Ability to traverse office, lab, data center, and field environments as required.
At Autonomous Solutions Inc , we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. Autonomous Solutions Inc complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.
As an AI Engineer IV (Simulation) , you will build the systems that close the loop between real-world autonomous operations and simulation. You will develop AI-driven training workflows, automated validation pipelines, and scenario generation tools that accelerate safe autonomous deployment. Your work directly shapes how the autonomy stack performs in the field by keeping simulation grounded in real-world data, edge cases, and operational constraints.
Responsibilities
Build closed-loop systems connecting field data to simulation and back to real-world performance.
Develop simulation-driven workflows that generate diverse scenarios, edge cases, and long-tail events.
Integrate perception, planning, control, and vehicle dynamics models into simulation environments.
Create automated validation pipelines that stress-test autonomy across environments, terrain, and failure modes.
Enhance simulation fidelity using real-world telemetry, sensor data, and environmental conditions.
Use generative models or data augmentation to expand scenario coverage and reduce field testing costs.
Develop tools that measure model performance, regression trends, and safety margins in simulation.
Optimize simulation infrastructure for speed and scalability across local, cloud, and distributed compute.
Qualifications
Experience in AI, robotics, simulation engineering, or ML model development.
Strong understanding of simulation environments, synthetic data workflows, or scenario generation.
Experience integrating AI models into simulation frameworks for training or validation.
Proficiency in Python, C++, or similar languages for simulation and AI development.
Experience with robotics concepts such as perception, planning, control, or vehicle dynamics.
Ability to convert real-world data into simulated scenarios that expose edge cases and system weaknesses.
Experience with cloud simulation infrastructure, distributed compute, or GPU-accelerated workloads.
Physical Requirements
Ability to remain in a stationary position at a computer workstation for extended periods.
Ability to operate a computer and other office productivity equipment continuously.
Ability to communicate and exchange information in person, via phone, and through electronic means.
Ability to traverse office, lab, data center, and field environments as required.
At Autonomous Solutions Inc , we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. Autonomous Solutions Inc complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.