Field Optimization

Remote

About the role

AIM Intelligent Machines | Autonomous Earthmoving Safety First Real-World Results Rapid Deploy Our Team FAQ News Careers DEPLOY NOW Safety First Real-World Results Rapid Deploy Our Team FAQ News Careers Careers Field Optimization

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. About you 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. You are equally comfortable: 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.

About us together Together, we will: 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 planning teams turn field variability into system strength We’ll iterate relentlessly, test under stress, and make autonomy measurably better with every deployment.

Responsibilities Task Optimization & Performance Tune autonomy behaviors for specific tasks and environments. Analyze performance metrics, failure modes, and edge cases. Validate ConOps, safety assumptions, and degraded-mode behavior against real site conditions. Signal Discovery & AI Feedback Identify patterns in autonomy behavior and failure. Translate field insights into actionable inputs for AI and planning teams. Validate improvements under real operating conditions. Testing & Validation Design and execute on-site test plans (functional, performance, environmental, regression) for autonomy behaviors, safety systems, control responses, and telemetry reliability. Validate releases, patches, hardware revisions, and autonomy updates under real operational stress. Maintain clear bug reports, defect triage, downtime logs, and structured feedback cycles into engineering. Drive quality upstream - flagging architectural/testability gaps early and championing improvements. Product Integration & Custom Engineering Write production-grade code when needed - scripts, integrations, custom workflows, or quick fixes to unblock deployments. Build customer workflow integrations (data APIs, cloud ingestion, operator UI tweaks, etc.). Partner with autonomy, software, and hardware teams to validate features in the field and influence product direction. Travel Deep immersion on customer sites worldwide (US, Australia, Africa, Europe). ~40-70% travel depending on deployment cycles.

Qualifications Basic

qualifications Bachelor’s degree in engineering (Mechanical, Electrical, Computer, Robotics, Systems) or equivalent practical experience. 5+ years experience in one or more: field engineering, systems engineering, SDE/SDE-T, robotics deployment, industrial automation, test/validation engineering. Hands-on experience debugging complex hardware/software systems under real-world constraints. Strong scripting ability (Python, Bash, JavaScript, or equivalent) and comfort writing production-quality scripts or small features. Strong understanding of sensors, networking, Linux systems, compute modules, and embedded hardware fundamentals. Experience designing/executing test plans and reporting structured quality findings. Excellent communication skills - able to translate field issues into crisp engineering

requirements. Ability to work autonomously under ambiguous, high-pressure conditions. Willingness to travel internationally and domestically, often on short notice. Preferred

Qualifications Experience deploying robotics, autonomous systems, heavy equipment, or industrial automation. Experience with safety-critical systems, emergency stops, lockout/tagout, or functional safety frameworks. Familiarity with hydraulics, GNSS systems, perception stacks, or motion control systems. Experience analyzing operational data and performance metrics. Experience building test automation, CI test harnesses, or validation pipelines. Experience developing service manuals, install guides, or field engineering playbooks. OEM or dealer network experience (e.g., Komatsu, Caterpillar, Volvo). Ability to influence product and engineering teams through data, clarity, and field insight. How you’ll stand out You bring systems thinking - connecting field issues to architectural insights. You can turn ambiguous field failures into structured, repeatable engineering test cases. You operate calmly under pressure and lead customers through complex issues. You write clean code, clean documentation, and clean bug reports. You thrive in the dirt, in the logs, and in the details. You bridge the gap between engineering vision and field reality. Why AIM? Joining AIM, You Will Solve a massive set of real-world problems that require scalable earth moving Accomplish that via deploying and expanding cutting edge tech Run your workstreams with the largest degree of autonomy Have an opportunity for rapid growth and a large voice on the direction of the company Receive company funded medical, dental, vision, 401k, life insurance, gourmet food &

perks Experience a strong onsite collaboration (AIM offices, labs and proving grounds on the east side of the Greater Seattle area) Have an opportunity to travel to unique sites around the world (Americas, Australia, Africa & more) Details Department Engineering Location Remote Type Full Time Apply Now Name * Email * Resume * Submit Application TERMS OF SERVICE WEBSITE TERMS OF USE PRIVACY POLICY CUSTOMER TERMS SITE TERMS PRIVACY AIM INTELLIGENT MACHINES © 2025, All Rights Reserved

About AIM Intelligent Machines

AIM = AI Autonomy Platform for Heavy Machinery

Scalable earthmoving is not optional. It’s required for our civilization to flourish.

Critical materials like copper, iron ore, and lithium are in short supply and dangerous to mine. One billion people live less than 10 meters above rising oceans, 1 in 6 people live in areas with significant wildfire risk, 43% of critical infrastructure is in disrepair and will cost $2.6 trillion to fix, and pollution from the Manhattan Project is still being cleaned up with a $300 billion invoice. Food production must increase 60% to feed the 2050 population, and it will take 757 years to remove mines in Ukraine with traditional methods. What do these problems have in common? One, our civilization does not have a feasible way to address challenges of this magnitude. Two, earthmoving is a key part of the solution.

Our commercially deployed autonomy product runs a wide range of existing earthmoving machinery (new, older, large, small, any brand). As a result, our customers run their operations at maximum throughput and safety. The AIM platform unlocks tremendous value across mining, construction, and defense.

AIM has been built by world-class engineers who developed cutting-edge products at Google, Waymo, Tesla, and SpaceX. We bring deep expertise in autonomy, robotics, hardware, and advanced AI deployed at scale.