Autonomy Systems Engineer for Construction Equipment

Mach, Inc.

Northern (KY)

Hybrid

USD 90,000 - 140,000

Full time

15 hours ago
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Benefits offered by this job

Health plan
Dental
Vision
401k
Equity incentive
Vacation and PTO
Paid holidays

Job summary

Mach, Inc. is seeking a Systems Engineer to translate autonomy capabilities into practical, field-ready solutions for construction equipment.

The role focuses on connecting sensing, software, machine interfaces, and field performance to ensure reliable operation on real jobsites. You will work with perception, controls, and software teams, conducting bench and field tests, documenting results, and supporting deployments across challenging environments.

Qualifications

  • Experience in robotics or autonomous systems integration.
  • Calibrating sensors and assessing data quality.
  • Developing requirements and verification plans for machine behavior.
  • Collaborating with software, electrical, and mechanical teams.

Responsibilities

  • Translate workflows into system requirements, interfaces, operating assumptions, and test criteria.
  • Integrate cameras, radar, LiDAR, positioning, and machine data with perception, controls, and software engineers.
  • Evaluate sensor placement, calibration, coverage, and failure modes under changing terrain and jobsite conditions.
  • Bring up and troubleshoot complete systems on machines, tracing issues across sensors, software, communications, and vehicle interfaces.
  • Plan and execute bench and field tests, collect data, and document engineering improvements.
  • Document configurations, integration decisions, test results, and known limitations for repeatability.

Skills

Systems integration
Sensor fusion
CAN communications
C++ / Python
Field validation
Data analysis

Tools

Robotics middleware

Job description

Mach, Inc. is seeking a Systems Engineer to translate autonomy capabilities into practical, field-ready solutions for construction equipment.

The role focuses on connecting sensing, software, machine interfaces, and field performance to ensure reliable operation on real jobsites. You will work with perception, controls, and software teams, conducting bench and field tests, documenting results, and supporting deployments across challenging environments.

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