Job Title: 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.
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