Systems Engineer II

Systems Engineer Location: Pittsburgh, PA (Onsite) Duration: 4 Months Must-Have 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 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. 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. Required Skills 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.