Field Robotics Engineer: Deploy & Optimize Autonomous Machines

Gravis Robotics

Austin (TX)

On-site

USD 120,000 - 170,000

Full time

46 hours ago
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Job summary

Gravis Robotics in Austin, TX, is seeking a hands-on Field Robotics Engineer to own end-to-end deployments across the Americas, from site assessment to live operations.

This is on-site work, testing integrated robotic systems, troubleshooting under pressure, and serving as the technical face to customers. Join a fast-growing startup applying Physical AI to heavy construction and help bring autonomous machines to real-world environments.

Qualifications

  • Bachelor’s degree or higher in Robotics, Mechatronics, Electrical/Mechanical Engineering or related field.
  • Hands-on experience deploying, integrating, and debugging robotic software systems.
  • Experience with the ROS ecosystem.
  • Proficiency in Linux and Git.
  • Programming skills in C++ and Python.
  • Willingness to travel domestically and internationally.
  • Valid US driver's license and work authorization in the US.

Responsibilities

  • Lead the technical execution of customer deployments from start to handover.
  • Own end-to-end planning, coordination, and follow-up with Operations.
  • Serve as trusted technical contact for customers throughout deployment lifecycle.
  • Provide hands-on technical support and guidance to customers and end users.
  • Perform regular system testing to ensure reliability, robustness, and performance.
  • Generate performance reports and collaborate with cross-functional teams to resolve issues.
  • Contribute to continuous improvement of deployment processes, tooling, and best practices.

Skills

Robotics deployment
ROS ecosystem
Linux
Git
C++
Python
Travel willingness
US driver’s license
Work authorization in US

Education

Bachelor’s degree or higher in Robotics/Mechatronics/EE/ME or related field

Job description

Gravis Robotics in Austin, TX, is seeking a hands-on Field Robotics Engineer to own end-to-end deployments across the Americas, from site assessment to live operations.

This is on-site work, testing integrated robotic systems, troubleshooting under pressure, and serving as the technical face to customers. Join a fast-growing startup applying Physical AI to heavy construction and help bring autonomous machines to real-world environments.

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