AI Simulation Engineer IV

At ASI we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture construction landscaping and logistics we deliver technologies that enhance safety productivity and efficiency. With our core values of Simplicity Safety Transparency Humility Attention to Detail and Growth guiding everything we do were shaping the future of automation in dynamic markets.

As an AI Simulation Engineer you will fuse simulation and AI to accelerate training validation and edge case discovery for safe autonomous deployment. This role focuses on building systems where real-world data improves simulation fidelity and simulation in turn enhances real world model performance safety and reliability. You will develop simulation driven training loops automated validation pipelines and tools that help autonomy scale faster with higher confidence.

Responsibilities:

• Fuse simulation and AI to accelerate training validation and edge case discovery for safe autonomous deployment.

• Build closed loop systems where on-field data improves simulation and simulation sharpens real world performance.

• Develop simulation driven workflows that generate diverse scenarios edge cases and long tail events to improve AI robustness.

• Integrate perception planning control and vehicle dynamics models into high fidelity simulation environments.

• Create automated validation pipelines that use simulation to stress test autonomy performance across environments weather terrain and failure modes.

• Use generative models or data augmentation techniques to expand scenario coverage and reduce reliance on costly on-field testing.

• Enhance simulation fidelity by incorporating real world telemetry sensor data logs and environmental conditions.

• Develop tools that measure model performance regression trends safety margins and reliability metrics within simulated environments.

• Collaborate with autonomy robotics data and test teams to ensure simulation tools and AI workflows reflect real world behavior and operational constraints.

• Optimize simulation infrastructure for speed scalability and throughput across local cloud and distributed compute.

• Continuously refine simulation systems AI training loops and data feedback pipelines to improve realism and accelerate development cycles.

Required Qualifications:

• Experience in AI robotics simulation engineering or machine learning model development.

• Strong understanding of simulation environments synthetic data workflows scenario generation or virtual testing systems.

• Experience integrating AI models into simulation frameworks for training validation or performance testing.

• Proficiency in Python C or similar languages used for simulation tools and AI development.

• Experience working with robotics concepts such as perception planning control or vehicle dynamics.

• Ability to analyze real world data and convert it into simulated scenarios that expose edge cases and system weaknesses.

• Experience with cloud simulation infrastructure distributed compute or GPU accelerated workloads.

• Strong problem solving and analytical abilities with the skill to bridge real world system behavior and simulated environments.

• Ability to collaborate effectively with cross functional engineering teams and communicate technical concepts clearly.

At Autonomous Solutions Inc. (ASI) 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. ASI complies with all applicable federal state and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

Required Experience:

IC