Network Design and Capacity Planning Software Engineer
5 days ago
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.
Are you passionate about solving complex network challenges at scale? Do you thrive on optimizing massive data flows and architecting the network of tomorrow's digital world? Join us as a Principal Member of Technical Staff (Network Modeling, Analytics and Optimization Engineer) and become a key player in shaping the efficiency, reliability, and scalability of our next-generation carrier grade network infrastructure.
What You'll Do
You'll be at the heart of innovation, driving the automation of network design and capacity planning using modeling and big data analytics. Your expertise in advanced graph theory, linear programming, and network flow optimization, AI/ML will power tools and solutions that directly impact millions of users. Here's how you'll make an impact:
- Build Automation Tools: Develop and maintain sophisticated software for network planning, modeling and real-time performance analytics, using the latest in graph theory, optimization and AI/ML algorithms.
- Model and Solve Real-World Problems: Tackle complex network flow scenarios by representing networks as graphs, optimizing capacities, and solving flow constraints to maximize efficiency.
- Design Scalable Topologies: Architect robust, heavily-meshed network structures capable of handling exabytes of data per second, while maintaining top-tier quality of service.
- Drive Big Data Analytics: Harness big data analytics and machine learning techniques to analyze massive network datasets, extract actionable insights, detect anomalies, and support intelligent decision-making for network optimization and forecasting. Design and implement network performance troubleshooting tools.
- Design algorithms and tooling for implementing heavily meshed and tiered, reliable, large scale carrier grade network topologies capable of carrying Order of Exabytes per day of traffic with quality of service constraints.
- 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.
- Master's or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
- Formal coursework in optimization models, advanced graph theory, algorithms, machine learning and neural 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.
- Proficiency in linear and mixed-integer programming, with hands-on modeling experience on real world problems .
- Familiarity with optimization libraries (CPLEX, Gurobi, NetworkX) and programming languages such as Python, C++, or Java.
- Data Savvy: Strong data engineering and data science skills, including data cleaning, outlier removal, and experience with statistical analysis/validation (ARIMA, Holt-Winters, Bayesian networks, etc.).
- Machine Learning Expertise: Deep understanding of traditional ML models, , Complex Neural networks, gradient descent optimization. Knowledge of transformer AI models, LLMs, RAG and fine tuning.
- Networking Know-How: Bonus points for knowledge of packet routing, network topologies, and hands-on experience with carrier-grade networks.
- A passion for applying mathematical optimization to real-world challenges in communications and resource allocation.
- Experience modeling and analyzing high-performance algorithms for network flow and optimization.
- A collaborative spirit and eagerness to push the boundaries of what's possible in large-scale network engineering.
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-
Ready to join our team? Apply today
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.
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