Key skills
CloudJavaScriptLinuxPythonBashCommunication
About this role
Role Overview
- Configure autonomy software, perception stacks, networking, and cloud services.
- Perform calibration, alignment, and validation of sensors and localization.
- Execute first autonomy runs and safety acceptance tests.
- 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).
- 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.
- 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.
- 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.
- Act as the bridge between customers and AIM engineering
- clear, honest, technically grounded communication.
- Manage expectations around downtime, features, maintenance windows, and machine readiness.
Requirements
- 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.
Tech Stack
- Cloud
- JavaScript
- Linux
- Python
Benefits
- Health insurance
- 401k
- Gourmet food & perks