Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

We are looking for a skilled Principal Member of Technical Staff (Network Design and Capacity Planning Software Engineer) with deep expertise in advanced graph theory, linear programming, and network flow optimization. In this role, you’ll build automation tooling for network design and capacity planning and network flow analysis for large-scale ISP networks. Your work will directly impact the efficiency, reliability, and scalability of our network infrastructure.

What you’ll do:

• Develop and maintain automated tools for network capacity planning and real-time capacity checking, leveraging advanced graph theory and network flow optimization.
• Solve complex network flow problems by modeling computer networks as graphs with nodes (e.g., routers, switches) and edges (links), each with capacity determinations required for each edge and flow constraints on both end to end and edge basis.
• Formulate and solve problems such as Maximum Flow, Minimum Cost Flow, Shortest Path, Transportation, and Multi-Commodity Flow to support network design and operation.
• Apply a wide range of optimization techniques—such as Ford-Fulkerson, Edmonds-Karp, Dinic’s, Preflow-Push, and cycle canceling algorithms—to maximize or minimize commodity flow, identify network bottlenecks, and optimize resource utilization.
• Model network capacity planning scenarios using directed or undirected graphs, implementing adjacency list/matrix representations for efficient storage and computation.
• Design algorithms and tooling for implementing heavily meshed and tiered, reliable, large scale carrier grade network topologies capable of carrying Order of Exabytes per second of traffic with quality of service constraints.
• Design and implement network performance troubleshooting tools.
• Integrate capacity planning and network flow optimization tools with existing network management and monitoring systems.
• Collaborate with network architects and engineers to ensure accurate problem modeling and effective solution deployment.
• Document algorithms, tool usage, and provide training to stakeholders.

What you’ll need:

• Strong knowledge of key network flow concepts: nodes, edges, capacities, source/sink nodes, flow conservation, and bottleneck identification.
• Proven experience in solving network flow optimization problems for computer networks.
• Experience with advanced topics such as Multi-Commodity Flow, Dynamic Network Flow, and Stochastic Network Flow, Minimum cost flow, maximum flow problems, bin packing, knapsack and other complex graph theory problems.
• Expertise in Linear programing and Mixed integer linear models
• Expertise in representing and modeling networks using adjacency matrices and lists, with a focus on proper abstraction for efficient computation.
• Experience in data engineering, data science, data cleaning, and outlier removal for large datasets.
• Knowledge of statistical techniques for data analysis and validation, with experience in models such as ARIMA, Holt-Winters exponential smoothing, time series regression, and Bayesian networks for network traffic forecasting and anomaly detection.
• Desirably, some familiarity with routing protocols like ISIS, BGP, MPLS, and MPLS-TE
• Desirably, some familiarity with network observability protocols like Netflow, Sflow, TWAMP
• Desirably, some exposure to SDN (Software Defined Networking) and automation frameworks.

What you’ll bring:

• Knowledge of various mathematical optimization techniques and understanding of real-world applications: communication networks, traffic management and resource allocation.
• Knowledge of traditional ML models, Transformer AI models, LLMs and time series forecasting.
• Understanding of neural networks, machine learning, and gradient descent optimization for predictive modeling or traffic forecasting (e.g., LSTM networks, feedforward neural networks, ensemble methods).
• Demonstrated experience with algorithms for network flow (e.g., Ford-Fulkerson, Edmonds-Karp, Dinic’s, Preflow-Push, Cycle Canceling), and optimization libraries (e.g., CPLEX, Gurobi, NetworkX).
• Proficiency in programming languages such as Python, C++, or Java.
• Desirably knowledge of computer networking, including knowledge of packet routing and network topologies.
• Excellent communication, analytical, and problem-solving skills.

Our Principal Member of Technical Staff, earns between $180,200-$270,400 USD Annual, not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.  

Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage  
• 401(k) plan  
• Tuition reimbursement program  
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)  
• Paid Parental Leave  
• Paid Caregiver Leave  
• Additional sick leave beyond what state and local law require may be available but is unprotected  
• Adoption Reimbursement  
• Disability Benefits (short term and long term)  
• Life and Accidental Death Insurance  
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal  
• Employee Assistance Programs (EAP)  
• Extensive employee wellness programs  
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
• AT&T internet (and fiber where available) and AT&T phone.

#LI-Onsite – Full-time office role-

Weekly Hours:

40

Time Type:

Regular

Location:

USA:NJ:Middletown / S Laurel Ave - Bldg A:200 S Laurel Ave Bldg A

Salary Range:

$180,200.00 - $270,400.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Job ID R-84137 Date posted 10/03/2025