Systems Engineer II

• Support capture operations via hardware and software troubleshooting, root cause analysis, cross-functional collaboration, process improvement, and engineering improvements.
• Troubleshoot and resolve issues across Linux, Windows, and macOS systems using terminal/CLI tools and standard diagnostics.
• Perform basic network debugging and issue triage (e.g., connectivity, DNS, DHCP, routing basics) and support common network protocols.
• Develop and maintain lightweight automation/scripts in bash and/or Python to improve reliability and operational efficiency. (No need to build from scratch - primarily maintaining and improving existing tools.)
• Support and maintain systems used in onsite user study environments, including coordination with internal stakeholders to ensure readiness for sessions.
• Follow established data handling, participant privacy, and operational protocols for user study environments.
• Document procedures, common issues, and fixes to support repeatable operations and knowledge sharing.
• Update SOPs as issues are resolved or processes change. Provide operational support for camera/optical systems, lighting, audio systems, and/or AV equipment (e.g., RME, Blackmagic, AVB), and assist in capture-stage or VR hardware environments as needed.
• Support multiple concurrent data collection projects spanning different disciplines (electrical, software, hardware), prioritizing and context-switching as needed.
• Coordinate with a wide range of cross-functional partners - including researchers, engineers, and non-technical stakeholders - to keep operations running smoothly.

• Must be able to adhere to data handling and participant privacy, Protocols for user study environments. Linux/Windows/Mac troubleshooting (terminal & CLI utilities)
• Computer network protocol knowledge and basic network debugging. Scripting ability in bash and/or python
• Strong communication & teamwork skills, can effectively collaborate with many people with distinct job functions (non-engineering

Nice-to-have Skills:

• Former Meta experience Experience with camera/optical systems, lighting, audio systems, or AV equipment (RME, Black Magic, AVB)
• Ability to build scripts/tools from scratch Prior work with capture stage environments or VR hardware is a plus
• Strong documentation & process improvement discipline Root cause analysis experience in large-scale hardware/software systems

Years of Experience:

• 2+ years of experience in hardware troubleshooting (cameras, networking, PDUs), data collection operations, software scripting, and on-site lab support for complex R&D capture systems., * Experience troubleshooting Linux, Windows, and macOS systems using command-line tools (Terminal/CLI).
• Basic understanding of computer networking, including DNS, DHCP, IP addressing, connectivity, and routing fundamentals.
• Ability to write, modify, and maintain Bash and/or Python scripts.
• Hands-on experience with hardware and software troubleshooting.
• Strong problem-solving and root cause analysis skills.
• Ability to follow strict data handling, privacy, and operational protocols.
• Strong communication and teamwork skills with both technical and non-technical stakeholders.
• Experience supporting data collection operations, lab environments, or R&D systems.
• Ability to manage multiple tasks and priorities in a fast-paced environment.
• Strong documentation and process adherence skills.

Preferred Skills

• Previous experience with Meta.
• Experience with camera, optical, lighting, audio, or AV systems.
• Familiarity with equipment such as RME, Blackmagic, and AVB.
• Experience supporting capture-stage environments or VR hardware.
• Ability to develop scripts and automation tools from scratch.
• Experience performing root cause analysis in large-scale hardware/software environments.
• Strong process improvement and operational efficiency mindset.
• Experience creating and maintaining SOPs, troubleshooting guides, and technical documentation.
• Experience working in cross-functional environments involving researchers, hardware engineers, software engineers, and operations teams.