Field Optimization

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.

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.

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.

• 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.

• Identify patterns in autonomy behavior and failure.

• Translate field insights into actionable inputs for AI and planning teams.

• Validate improvements under real operating conditions.

• 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.

• 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.

• Deep immersion on customer sites worldwide (US, Australia, Africa, Europe).

• ~40-70% travel depending on deployment cycles.

• 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.

• 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.

• 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.

• 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)