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Systems Engineer - Excavator Automation(m/w/x)
Defining and executing system-level test scenarios for autonomous excavators. At least 2 years of hands-on complex systems experience required. Startup environment, flexibility.
Requirements
- Degree in Electrical Engineering, Mechanical Engineering, Robotics, or relevant fields
- At least 2 years of practical, hands-on experience
- 2+ years of hands-on experience with complex systems (automation, robotics, vehicles, heavy machinery, industrial equipment, or similar)
- Strong system-level troubleshooting and debugging skills
- C++ and Python programming skills, proficiency in git systems
- Proficiency in Linux systems
- Comfortable working in field environments (construction sites, test yards, deployments)
- Ability to travel abroad as needed
- Driver’s license B category
- Experience with excavators, heavy equipment, or off-road vehicles
- Field testing experience
- Familiarity with communication technologies (DDS, Zenoh, LCM)
- Experience in motion planning or control
- Experience in robotic competitions
- Proficiency in English
Tasks
- Define and execute system-level test scenarios
- Support atypical and beta deployments
- Train field engineers on autonomy capabilities
- Validate system behavior across machines, environments, and conditions
- Identify edge cases, failure modes, and operational limits
- Collaborate with engineering teams on system-level decisions
- Investigate system failures during field testing
- Apply hotfixes when necessary
- Conduct deployments for pilots and beta customers
- Capture lessons learned from deployments
- Feed deployment insights back into system testing and design
- Prioritize fixes and improvements based on real-world impact
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- C++
- Python
- git
- Linux
- DDS
- Zenoh
- LCM
Benefits
Flexible Working
- Work-life balance
- Flexibility
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Systems Engineer - Excavator Automation(m/w/x)
Defining and executing system-level test scenarios for autonomous excavators. At least 2 years of hands-on complex systems experience required. Startup environment, flexibility.
Requirements
- Degree in Electrical Engineering, Mechanical Engineering, Robotics, or relevant fields
- At least 2 years of practical, hands-on experience
- 2+ years of hands-on experience with complex systems (automation, robotics, vehicles, heavy machinery, industrial equipment, or similar)
- Strong system-level troubleshooting and debugging skills
- C++ and Python programming skills, proficiency in git systems
- Proficiency in Linux systems
- Comfortable working in field environments (construction sites, test yards, deployments)
- Ability to travel abroad as needed
- Driver’s license B category
- Experience with excavators, heavy equipment, or off-road vehicles
- Field testing experience
- Familiarity with communication technologies (DDS, Zenoh, LCM)
- Experience in motion planning or control
- Experience in robotic competitions
- Proficiency in English
Tasks
- Define and execute system-level test scenarios
- Support atypical and beta deployments
- Train field engineers on autonomy capabilities
- Validate system behavior across machines, environments, and conditions
- Identify edge cases, failure modes, and operational limits
- Collaborate with engineering teams on system-level decisions
- Investigate system failures during field testing
- Apply hotfixes when necessary
- Conduct deployments for pilots and beta customers
- Capture lessons learned from deployments
- Feed deployment insights back into system testing and design
- Prioritize fixes and improvements based on real-world impact
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- C++
- Python
- git
- Linux
- DDS
- Zenoh
- LCM
Benefits
Flexible Working
- Work-life balance
- Flexibility
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Gravis Robotics
Industry
Construction
Description
Gravis Robotics is a startup that turns heavy construction machines into intelligent and autonomous robots.
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