Teaching Assistant - C2QA QIS101 Virtual Summer Program

Brookhaven National Laboratory

1d•$17 - $32•Remote

About The Position

About the Co-design Center for Quantum Advantage (C2QA) The Center is led by Brookhaven National Laboratory and one of five National Quantum Information Science (QIS) Research Centers led by the U.S. Department of Energy (DOE), Office of Science. Center member institutions are tasked to accelerate transformational advances in basic science and quantum-based technologies that are needed to assure continued U.S. leadership in QIS. The Center scientific researchers are building the tools necessary to create scalable, distributed, and fault-tolerant quantum computer systems. Position Description The Teaching Assistant – Virtual is a resource for students to aid them in understanding program materials and completing lab assignments. The incumbent will attend each lecture and lead their respective workshops to aid the students in successfully completing the QIS 101 program. Opportunity Candidacy and Compensation U.S. citizens or Legal Permanent Residents. Candidates selected for interview will be asked produce REAL ID-compliant documentation in compliance with the U.S. REAL ID Act which states nationwide identification requirements for virtual or site access to federal facilities. Additional information available at BNL.gov/REAL-ID. The role is virtual, full-time, non-exempt position and open to candidates that have availability to work the anticipated 5 – 10 hours per week of overtime from June 8 – July 17, 2026. Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $17.00 - $31.75 / hour. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.

Requirements

Active enrollment in an undergraduate or graduate level degree program in Computer Science, Mathematics, Physics, or related.
The candidate may not exceed 1 semester past graduation from their program.
Expert skills at debugging and writing Python code using industry best practices for software development.
Outstanding verbal and written communication skills.
Ability to speak clearly, simply, and patiently with students who may be non-native English speakers and have limited initial skills.
Must strongly desire to educate, mentor, and inspire junior colleagues to help them master new QIS skills.
Available for compensated overtime to meet with assigned students for materials review, code troubleshooting, and mentoring.

Nice To Haves

Python 3.11+ and be familiar with creating and managing virtual environments for Python using Conda and Pip.
Experience using an integrated development environment such as Visual Studio Code, PyCharm, or Thonny.
Knowledge of command line interfaces (Apple iTerm2, Windows PowerShell, Linux shells, etc.) to manipulate files and folders.
Experience using Microsoft Excel, PowerPoint, SharePoint, or Google Drive.
Previously completed courses in linear algebra, trigonometry, probability and statistics, multivariable calculus, differential equations, and complex analysis.
Ideally, the incumbent will have taken a course in quantum mechanics.

Responsibilities

Directly support assigned students during each session.
Ensure students successfully complete every lab assignment.
Evaluate and submit written grades for assigned student’s solutions to every task in the course using a rubric of output correctness, accuracy, precision, efficiency, and runtime speed compared to the approved solutions.
Take, track, and report on the attendance of assigned students for all sessions of the program, tracking student arrival time and full attendance throughout each session.
Serve as the first point of contact to respond to technical questions (via 1:1 Zoom chat) from assigned students in parallel and cadence with Instructor delivery of course material.
Lead assigned, syllabus allocated, informal sessions titled “TA Time” via Zoom breakout rooms designed to allow students to collaborate, complete assignments, and explore extensions of hands-on labs.
Assist assigned students in the download, installation, and operation of QIS101 software development tools and Python virtual environment application each student computer.
Remotely debug Python code their assigned students have written that is not compiling or running correctly using Zoom.
Each SA-V must be completely familiar with the learning objectives and lab assignments for every session of the program.
SA-Vs will attend every session, complete every lab assignment, and upload solutions for evaluation, feedback, and collaboration with program Instructor.