Sources include network simulators, formal checkers such as Batfish or YANG validation, and closed-form physics such as orbit propagation and link budgets Impose action budgets and hidden state so that exhaustive search does not work and the task measures diagnostic policy rather than brute force Define invariants, and make any repair that breaks a previously satisfied property fail the episode Calibrate difficulty by running frontier models against each task, then analyze failures to confirm they come from domain reasoning rather than ambiguity or broken grading Work with research partners inside and outside the team to turn measured capability gaps into published findingsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in electrical engineering, computer science, or a related field, plus five years of relevant experience Production experience in at least one of: network operations and configuration, radio access systems, or satellite and aerial communications Proficiency in Python, with experience building and maintaining production or research codebases, and comfort building and debugging simulation or emulation environments Experience writing automated verification or test infrastructure where correctness is checked by a program, not by inspection Able to reason about a system from partial telemetry and explain why one hypothesis fits the evidence better than another Experience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or PHP Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 6+ years of experience in a relevant domain or 4+ years of experience with a Ph. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.