Job Title: Systems Engineer II - Data Collection Operations
Location: Pittsburgh, PA – Onsite
Duration: 4 months (potential extension)
We are looking for a Systems Engineer II to support data collection operations in research and lab environments. This is a hands-on, operational role focused on maintaining, troubleshooting, and improving systems used in user studies and technical capture setups.
You will work closely with cross-functional teams including engineers, researchers, and operations staff to ensure systems run reliably during live data collection sessions.
This role is ideal for someone who enjoys problem-solving in real-world environments, working with both hardware and software systems, and improving processes over time.
Required Qualifications:
2+ years of experience in systems, IT support, or lab/research environments
Strong experience with command-line interfaces (CLI) (required)
Hands-on troubleshooting across Linux, Windows, and macOS
Basic understanding of networking concepts and debugging
Experience with scripting in Bash and/or Python
Strong communication and collaboration skills
Ability to work onsite and support live operational environments
Preferred Qualifications:
Experience with AV systems, capture setups, or media hardware
Familiarity with camera systems, lighting, or audio equipment
Exposure to VR, AR, or hardware lab environments
Ability to write scripts/tools from scratch
Strong documentation and process improvement mindset
Experience with complex hardware/software systems troubleshooting
Responsibilities:
Troubleshoot and maintain systems across Linux, Windows, and macOS environments
Use command-line tools to diagnose and resolve system issues
Perform basic network troubleshooting (connectivity, DNS, DHCP, routing)
Support data capture and research operations, ensuring system readiness
Maintain and enhance automation scripts (Bash/Python) to improve workflows
Assist with hardware and AV systems including cameras, audio, and capture setups
Identify and resolve root causes of technical issues
Work across multiple projects, prioritizing and managing competing needs
Collaborate with technical and non-technical stakeholders
Document issues, processes, and solutions to improve repeatability
Follow strict data handling and privacy protocols for participant-based studies