AIM
This range is provided by AIM. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
About us AIM is a well‑funded, mission‑oriented startup focused on radically scaling our civilization’s capabilities to build planetary‑scale infrastructure and reverse negative effects of climate change. (https://aim.vision). We are growing the team with motivated individuals with a passion for landing great products built with a strong engineering culture. If you find massive robots making a positive impact in the real world tantalizing, get in touch! AIM has been built by a team of engineers, scientists, and serial entrepreneurs who previously led development of ML systems at Google, Waymo, Tesla, Apple, Google[x], Quora, Facebook and Microsoft, and are backed by General Catalyst, Human Capital, Elad Gil, Qasar Younis, Ironspring Ventures, DCVC, among other great allies.
AIM builds autonomous heavy equipment that performs real work in the real world - moving earth with 30‑ton machines operating in unpredictable environments across mining, construction, and large‑scale infrastructure sites. Our customers depend on us not for demos but for daily operational performance, safety, uptime, and productivity.
Our Forward Deployed Engineers sit at the tip of the spear. You will be the first to activate, validate, break, fix, understand, and refine autonomous machines as they operate in complex, real‑world scenarios. You bring the machine to life for customers, and you bring the truth of the field back into engineering.
We’re growing fast, scaling globally, and building the operational backbone that will define the next century of construction.
About you You are the kind of engineer who thrives where the real world meets real hardware and real customers. You’re equally comfortable:
installing hardware on a machine in 110°F heat
debugging network packets or sensor data at 2am after a site failure
rewriting a workflow or writing a quick script to unblock an operator
training on‑site personnel while simultaneously capturing requirements
analyzing logs, diagnosing failures, and feeding insights back to engineering
rolling up your sleeves to build, test, and validate fixes directly on machines
You think like a systems engineer, act like a full‑stack SDE/T, test like a QAE, and communicate like a TPM. You love taking ambiguous problems and making them concrete, bridging field issues and engineering decisions, and bringing calm to chaotic operational situations.
You are relentless in understanding failure modes, field conditions, safety considerations, and customer workflows - because in autonomy, the field is the truth.
About us together Forward Deploy Engineers are essential to AIM’s success and our customers’ trust. Together, we will:
deploy autonomy into production environments with safety and reliability
gather the high‑fidelity insights that engineering cannot discover from afar
define and improve service procedures, installation workflows, and operational playbooks
validate system behavior across hardware, autonomy, controls, networking, and cloud components
close the loop between customers, product, engineering, and safety‑critical requirements
We will face difficult technical and operational challenges. We will argue and iterate. We will converge on solutions that are superior to each of our initial views. We’ll build systems that work not in theory, but under mud, dust, shock, vibration, and human variability.
What you will own Customer Deployment & Machine Activation
Lead on‑site machine activation, installation, and configuration of AIM autonomy hardware + software.
Execute end‑to‑end deployment workflows - from mechanical installation to calibration, tuning, validation, and safety acceptance testing.
Train on‑site personnel on safe operations, standard procedures, emergency stops, and system workflows.
Own deep operational immersion - spending time on physical job sites to understand realities, not assumptions.
Field Diagnostics, Debugging & Operational Stability
Diagnose system failures across compute, networking, sensors, hydraulics, perception, control models, GNSS, and cloud connectivity.
Perform structured root‑cause analysis based on logs, system traces, packet captures, machine telemetry, and hardware inspection.
Develop or extend diagnostic tools, scripts, and test harnesses to triage issues faster.
Identify failure patterns and propose mitigations upstream (software, firmware, safety logic, hardware design).
Systems Engineering & Requirements Discovery
Translate field realities into actionable requirements for software, hardware, autonomy, and reliability engineering teams.
Identify gaps in serviceability, environmental tolerance (shock, vibration, dust), safety behavior, and operator workflows.
Validate ConOps, safety assumptions, and degraded‑mode behavior against real site conditions.
Testing, Validation & Continuous Quality Feedback
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.
Operational Engineering & Documentation
Create service documentation, deployment procedures, troubleshooting guides, and safety protocols.
Work with OEMs and dealers to enable them to install, maintain, and support systems.
Define and improve deployment playbooks that scale globally.
Customer Relationship & Trust Building
Act as the bridge between customers and AIM engineering - clear, honest, technically grounded communication.
Manage expectations around downtime, features, maintenance windows, and machine readiness.
Build trust through competence, transparency, and ownership.
Travel
Deep immersion on customer sites worldwide (US, Australia, Africa, Europe).
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 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.
#J-18808-Ljbffr
About us AIM is a well‑funded, mission‑oriented startup focused on radically scaling our civilization’s capabilities to build planetary‑scale infrastructure and reverse negative effects of climate change. (https://aim.vision). We are growing the team with motivated individuals with a passion for landing great products built with a strong engineering culture. If you find massive robots making a positive impact in the real world tantalizing, get in touch! AIM has been built by a team of engineers, scientists, and serial entrepreneurs who previously led development of ML systems at Google, Waymo, Tesla, Apple, Google[x], Quora, Facebook and Microsoft, and are backed by General Catalyst, Human Capital, Elad Gil, Qasar Younis, Ironspring Ventures, DCVC, among other great allies.
AIM builds autonomous heavy equipment that performs real work in the real world - moving earth with 30‑ton machines operating in unpredictable environments across mining, construction, and large‑scale infrastructure sites. Our customers depend on us not for demos but for daily operational performance, safety, uptime, and productivity.
Our Forward Deployed Engineers sit at the tip of the spear. You will be the first to activate, validate, break, fix, understand, and refine autonomous machines as they operate in complex, real‑world scenarios. You bring the machine to life for customers, and you bring the truth of the field back into engineering.
We’re growing fast, scaling globally, and building the operational backbone that will define the next century of construction.
About you You are the kind of engineer who thrives where the real world meets real hardware and real customers. You’re equally comfortable:
installing hardware on a machine in 110°F heat
debugging network packets or sensor data at 2am after a site failure
rewriting a workflow or writing a quick script to unblock an operator
training on‑site personnel while simultaneously capturing requirements
analyzing logs, diagnosing failures, and feeding insights back to engineering
rolling up your sleeves to build, test, and validate fixes directly on machines
You think like a systems engineer, act like a full‑stack SDE/T, test like a QAE, and communicate like a TPM. You love taking ambiguous problems and making them concrete, bridging field issues and engineering decisions, and bringing calm to chaotic operational situations.
You are relentless in understanding failure modes, field conditions, safety considerations, and customer workflows - because in autonomy, the field is the truth.
About us together Forward Deploy Engineers are essential to AIM’s success and our customers’ trust. Together, we will:
deploy autonomy into production environments with safety and reliability
gather the high‑fidelity insights that engineering cannot discover from afar
define and improve service procedures, installation workflows, and operational playbooks
validate system behavior across hardware, autonomy, controls, networking, and cloud components
close the loop between customers, product, engineering, and safety‑critical requirements
We will face difficult technical and operational challenges. We will argue and iterate. We will converge on solutions that are superior to each of our initial views. We’ll build systems that work not in theory, but under mud, dust, shock, vibration, and human variability.
What you will own Customer Deployment & Machine Activation
Lead on‑site machine activation, installation, and configuration of AIM autonomy hardware + software.
Execute end‑to‑end deployment workflows - from mechanical installation to calibration, tuning, validation, and safety acceptance testing.
Train on‑site personnel on safe operations, standard procedures, emergency stops, and system workflows.
Own deep operational immersion - spending time on physical job sites to understand realities, not assumptions.
Field Diagnostics, Debugging & Operational Stability
Diagnose system failures across compute, networking, sensors, hydraulics, perception, control models, GNSS, and cloud connectivity.
Perform structured root‑cause analysis based on logs, system traces, packet captures, machine telemetry, and hardware inspection.
Develop or extend diagnostic tools, scripts, and test harnesses to triage issues faster.
Identify failure patterns and propose mitigations upstream (software, firmware, safety logic, hardware design).
Systems Engineering & Requirements Discovery
Translate field realities into actionable requirements for software, hardware, autonomy, and reliability engineering teams.
Identify gaps in serviceability, environmental tolerance (shock, vibration, dust), safety behavior, and operator workflows.
Validate ConOps, safety assumptions, and degraded‑mode behavior against real site conditions.
Testing, Validation & Continuous Quality Feedback
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.
Operational Engineering & Documentation
Create service documentation, deployment procedures, troubleshooting guides, and safety protocols.
Work with OEMs and dealers to enable them to install, maintain, and support systems.
Define and improve deployment playbooks that scale globally.
Customer Relationship & Trust Building
Act as the bridge between customers and AIM engineering - clear, honest, technically grounded communication.
Manage expectations around downtime, features, maintenance windows, and machine readiness.
Build trust through competence, transparency, and ownership.
Travel
Deep immersion on customer sites worldwide (US, Australia, Africa, Europe).
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 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.
#J-18808-Ljbffr