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Field Optimization

AIM · Remote · Remote

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About AIM

AIM delivers autonomous earthmoving for mining, construction, and defense. Transform your fleet with AI-powered machines that maximize productivity and safety. Backed by General Catalyst and Khosla.

About the role

AIM builds autonomous machines that must continuously improve as they operate in the real world. Performance is not theoretical - it’s measured in productivity, efficiency, and predictability on real jobsites. Field Optimization Engineers focus on making autonomy better at real tasks, closing the loop between field behavior and AI, planning, and control systems.

What they're looking for

  • analyzing autonomy performance metrics and error distributions
  • observing operators and understanding task-level workflows
  • diagnosing why a behavior works in theory but fails in practice
  • translating field observations into model and planning improvements
  • validating changes through real-world testing
  • You believe the field is the ultimate teacher - and that learning from it is a competitive advantage
More about this role

AIM builds autonomous machines that must continuously improve as they operate in the real world. Performance is not theoretical - it’s measured in productivity, efficiency, and predictability on real jobsites.

Field Optimization Engineers focus on making autonomy better at real tasks, closing the loop between field behavior and AI, planning, and control systems.

You are analytical, curious, and deeply interested in how autonomous systems behave under real conditions. You enjoy working with operators, data, and models to improve performance over time.

analyzing autonomy performance metrics and error distributions

observing operators and understanding task-level workflows

diagnosing why a behavior works in theory but fails in practice

translating field observations into model and planning improvements

validating changes through real-world testing

You believe the field is the ultimate teacher - and that learning from it is a competitive advantage.

improve task performance across dozing, excavation, loading, and more

identify the signals that make autonomy more robust and adaptive

validate learning and model improvements in the real world

feed high-quality insights back into AI and...

Read the full posting on AIM's site ↗

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