Edge Systems Engineer

• Support and help define the computing architecture at new and existing observatory sites.
• Configure and integrate scientific hardware (e.g. sensors/cameras, switches, servers, data storage, edge computers, etc.) with local and remote software systems.
• Design and maintain container images (Singularity, Docker, Podman) for data-capture/processing services, and build CI/CD pipelines for automated remote rollouts.
• Setup data transfer automation for onsite storage and offsite archives
• Write and maintain code for data acquisition, system control, automation and monitoring tools.
• Implement secure remote access solutions (e.g. SSH, VPN).
• Set up monitoring dashboards and watchdog systems for uptime and performance.
• Respond to system alerts and perform remote diagnostics.
• Investigate and resolve intermittent system failures and implement long-term fixes.
• Work alongside our computing team, hardware engineers and scientists to ensure system compatibility.
• Create and maintain technical documentation, configuration guides, and field procedures.

Desired Qualifications & Experience

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Robotics, or related field—or equivalent practical experience.
• Experience with systems programming and hardware-software integration.
• Proficiency in Python and/or C++, particularly for device control or scientific applications.
• Comfortable with Linux environments and remote administration.
• Familiarity with networking, firewalls, and secure remote access tools.
• Experience with device interfaces like USB, GPIO, or serial communication.
• Bonus: Experience with computer vision or scientific sensor platforms.

Additional Notes and Assumptions

• Observatory systems are often deployed in remote, unmanned environments—reliability, automation, and remote visibility are essential.
• Systems include custom imaging sensors, environmental sensors, GPS modules, acoustic and RF instrumentation.
• The Galileo Project emphasizes rigorous scientific data collection and transparency.
• The role is expected to evolve as the project grows; adaptability is a key trait.
• The successful candidate must be comfortable working in remote/outdoor conditions (e.g., climbing towers, installing weatherproof enclosures, working in hot/cold environments)