DevOps Engineer focused on designing and managing CI/CD pipelines using Azure DevOps. Collaborating with teams for application deployment and ensuring DevSecOps practices.
About the role
- Manage complex customer rollouts and initial system deployments at Talex.ai. Bridging technical development with real-world application in robotics and AI systems.
Responsibilities
- Deployment Management: Execute full-cycle robot deployment, including environment assessments and safety reviews.
- Workflow Integration: Perform workflow mapping and coordinate with customer IT and Operations teams.
- Technical Calibration: Lead Camera and LIDAR calibration processes.
- System Configuration: Utilize ROS/ROS2 for system launch, configuration, and data bag management.
- Scripting & Data: Develop simple Python or Bash scripts for teleoperation, data capture, and replay.
- Mixed Support: Provide a combination of remote and onsite technical support during the rollout phase.
Requirements
- Background: Experience as a field engineer in robotics startups, automation system integrators, or as an FSE for robotic OEMs.
- Technical Skills: Proficiency in ROS/ROS2 and scripting languages like Python or Bash.
- Experience: Demonstrated success in completing full-cycle robot deployments.
- Language Proficiency: Professional English for stakeholder communication and technical documentation.
- Authorization: Must be legally authorized to work in the United States.
- Advanced experience with system integration and factory commissioning.
- Ability to lead first-batch rollouts for complex customer environments.
- Deep understanding of mechatronics and industrial equipment standards.
Benefits
- Contribute to shaping multilingual and culturally aware AI systems.
- Collaborate with a global community of experts and creators.
- Flexible project-based compensation and opportunities for skill development.
Job title
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Degree requirement
No Education Requirement
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