Develop, configure, and maintain uploaders and networking equipment at garage facilities.
Manage software release delivery to autonomous tractors and on-premises devices across active deployment sites.
Build and maintain C++ and Python on-premises data-processing applications for real-time operational data.
Manage ingestion and upload flows for vehicle telemetry and dashcam images from edge systems to cloud infrastructure.
Maintain and improve the operator-facing UI layer supporting garage operations.
Monitor server health, network performance, and on-premises data-pipeline reliability.
Develop Python and Bash automation for on-premises operations, monitoring, and deployment workflows.
Collaborate with the cloud infrastructure team on reliable data handoff between on-premises and cloud systems.
Adapt infrastructure and operational priorities across active vehicle deployment environments.
Requirements
Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or a related field.
7+ years of experience managing on-premises infrastructure, bare-metal systems, and physical networking environments.
Proficiency in C++ for data-processing applications, including the standard library, basic multithreading, socket implementation, and WebSocket implementation.
Strong proficiency in Python and Bash for automation, tooling, and operational scripting.
Hands-on experience physically configuring servers, computers, and network hardware.
Experience managing software deployment pipelines to physical devices or embedded systems.
Familiarity with data-ingestion pipelines and data flows from edge devices to centralized infrastructure.
Ability to operate effectively in a fast-paced environment with shifting operational priorities.
Preferred experience in robotics, autonomous vehicles, or operationally deployed technology environments.
Preferred background in embedded systems or edge computing with C++ data-processing applications.
Preferred experience supporting operator-facing tools or lightweight UI components for operational systems.
Preferred familiarity with WebSocket and socket-based communication for real-time data applications.
Preferred knowledge of monitoring and alerting for on-premises systems and network infrastructure.
Preferred ROS/ROS2 familiarity or experience with robotic software deployment pipelines.
AeroVect
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.