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Mid LevelFull-timePythonC++AWSDockerCI/CDAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a sharp, reliable Robot Deployment / DevOps Engineer to join our Operations team at Apptronik. In this role, you will own robot provisioning, configuration management, firmware/software updates, and deployment workflows. You will be responsible for designing and building automated tools and processes to ensure consistent and scalable deployments, both internal and for customer locations.
Key Responsibilities
- →Build automation tools/scripts for robot onboarding and configuration
- →Manage version control, update pipelines, rollback procedures, and change governance
- →Create standardized deployment documentation, checklists, and readiness processes
- →Partner with Field Service teams to execute customer-site deployments
- →Develop CI/CD-inspired processes for fleet-wide robot updates and configuration management
- →Deployment of newly delivered robots to our Robot Park
- →Connect robots to computers and network
- →Test to ensure no hardware, firmware, or software issues exist
- →Upgrade software/firmware
- →Provide support for report deployments (travel)
- →Ensure network connectivity
- →Provide software support to ensure stability
Requirements
- ✓Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience
- ✓2-4+ years in DevOps, automation, robotics, or systems integration
- ✓Strong scripting skills (Python, Bash) and experience with configuration management
- ✓Advanced knowledge and experience with Ansible, Linux, ROS, Python, C++, and Docker
- ✓1+ years network engineering experience (Cisco, Aruba, Ubiquiti, Meraki, etc.)
Benefits
- ★Opportunity to work at the cutting edge of embodied AI and robotics
- ★Chance to contribute to bringing our flagship humanoid robot, Apollo, to market at scale
- ★Work in a human-centered robotics company focused on solving society's most important problems
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