Systems Engineer II

Job Responsibilities:

• 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.

Skills:

• 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)
• Former MAANG 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

Education/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.