• Bachelor's, Master’s, or PhD in Physics or a closely related field
• Strong research or industry experience involving theoretical, experimental, or computational physics
• Strong Python skills; comfort with scientific libraries such as numpy, scipy, or similar
• Solid understanding of modeling, simulation, numerical methods, and multi-step problem solving
• Ability to design original, difficult problems that reflect real physics workflows
• Excellent attention to detail and technical writing skills in English
• Experience with simulation tools or domain-specific physics software (e.g., finite element tools, circuit simulators, symbolic systems)
• Background in areas such as computational physics, statistical mechanics, electromagnetism, quantum mechanics, or related fields
• Experience evaluating model reasoning, benchmarking, or designing technical assessments