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Senior Radio Network Optimization Engineer Jobs in Scranton, SC

Senior FPGA Engineer

Salters, SC ยท On-site

$133K - $172K/yr

The ideal candidate will drive the design, implementation, verification, and optimization of FPGA ... Work with software engineers to define FPGA-CPU/SoC interfaces. * Develop documentation and ...

Under the direction of manager or senior engineer, assist the Engineering and Manufacturing groups ... Perform process simulations and assist in equipment design and optimization. Participate in cross ...

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Showing results 1-20

Senior Radio Network Optimization Engineer information

See Scranton, SC salary details

$33.9K

$98.8K

$139.6K

How much do senior radio network optimization engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior radio network optimization engineer in Scranton, SC is $98,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $113,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior radio network optimization engineer?

To excel as a Senior Radio Network Optimization Engineer, you need deep knowledge of wireless communication principles, network planning, and optimization techniques, typically supported by a degree in telecommunications or a related field. Expertise with tools like TEMS, Actix, Atoll, and knowledge of protocols such as LTE, 5G NR, and relevant vendor systems is essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with cross-functional teams and addressing complex network issues. These abilities are crucial for ensuring optimal network performance, high-quality user experience, and efficient troubleshooting in dynamic telecom environments.

What is the difference between Senior Radio Network Optimization Engineer vs Radio Network Optimization Engineer?

AspectSenior Radio Network Optimization EngineerRadio Network Optimization Engineer
CredentialsTypically requires 5+ years experience, relevant certifications (e.g., RF certifications)Entry to mid-level experience, similar certifications
Work EnvironmentSenior roles often involve project leadership, complex problem-solving, and mentoringFocus on network analysis, troubleshooting, and optimization tasks
Industry UsageCommon in telecom providers, network vendors, and large-scale operatorsUsed across similar organizations, often as a stepping stone to senior roles

The main difference lies in experience level and responsibilities. Senior Radio Network Optimization Engineers typically lead projects and mentor junior staff, while Radio Network Optimization Engineers focus on executing optimization tasks. Both roles require similar technical skills and certifications, but the senior position involves more strategic planning and leadership.

What is a senior radio network optimization engineer?

Senior Radio Network Optimization Engineers are experienced professionals responsible for analyzing, designing, and improving the performance of wireless radio networks. They use various tools and techniques to monitor network quality, identify issues, and implement solutions to enhance coverage, capacity, and overall user experience. These engineers often work with technologies such as 2G, 3G, 4G, and 5G, and collaborate with cross-functional teams to optimize network parameters and support new feature deployments. Their expertise ensures that mobile networks operate efficiently and reliably to meet customer expectations.

What are some common challenges faced by senior radio network optimization engineers, and how are they typically addressed?

Senior Radio Network Optimization Engineers often face challenges such as managing network congestion, ensuring seamless coverage, and balancing capacity with quality of service. These issues require the use of advanced analytical tools, frequent network performance monitoring, and collaboration with cross-functional teams such as planning and field operations. Staying updated on the latest technologies and continuously fine-tuning network parameters are key strategies for overcoming these challenges. Regular communication with vendors and other engineers also helps in identifying and resolving complex optimization issues efficiently.

Senior Network Engineer - AI Data Center Networks

Carolina Power Systems

Sumter, SC โ€ข On-site

$91K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

Senior Network Engineer - AI Data Center Networks
Location: Portland OR, Sumter SC or SF Bay Area CA or remote
Job Type: Full Time, Hourly, Non-Exempt
Travel Requirement: Up to 75%
Apply Now
At BNS Networks, we design, deploy, and operate the network infrastructure behind large-scale AI compute. Our team provides complete lifecycle support - from high-level design and structured cabling to fabric bring-up, commissioning, and managed operations - keeping our customers' networks performing at line rate when it matters most.
BNS offers a competitive and relevant benefits package that keeps our employees in mind. Our benefits package includes medical, dental, and vision coverage, 401(k), and paid time off (PTO).
POSITION OVERVIEW
We are growing and looking for a Senior Network Engineer to join our engineering team. In this role, you will own the design and engineering of multi-site WAN backbones and high-density GPU compute fabrics for AI data center operators - taking projects from concept and high-level design through detailed design, build, and validation.
This position offers the opportunity to work closely with engineering, deployment, and customer teams while contributing to complex AI infrastructure projects from design through delivery and into operations. This is a fully remote role and can be based anywhere, with the ability to travel to active data center sites as needed.
WHAT YOU'LL DO
  • Design multi-site network backbones - BGP routing, transit and peering, internet edge, and data center interconnect (DCI) - and document them as defensible high- and low-level designs
  • Engineer high-density GPU compute fabrics (leaf-spine, rail-optimized fat-tree) using InfiniBand (NDR/XDR) and RoCEv2 / Spectrum-X Ethernet
  • Develop port-to-port cable maps and fabric plane architectures (single, dual, and quad plane) for NVL72-class GPU clusters, preserving NCCL collective performance
  • Plan and execute staged fabric bring-up - Subnet Manager / UFM configuration, firmware and pkey alignment, and controlled port enablement to avoid trap storms and reconvergence events
  • Produce HLD and LLD documentation, IP and ASN schemes, and cable schedules, and drive them through an issued-for-construction freeze and commissioning process
  • Apply NetDevOps practices - source-of-truth databases, infrastructure-as-code, and automated validation - to the logical fabric
  • Coordinate carrier and transport (transit, wavelengths, point-to-point links) and capacity planning across sites
  • Support network operations and managed services - monitoring, change control, root-cause analysis, and preventive maintenance - through deployment and hypercare

WHAT WE'RE LOOKING FOR
  • 10+ years of experience in network engineering, data center fabric design, or large-scale WAN/backbone design
  • Deep command of BGP (eBGP/iBGP, multi-homing, transit and peering) and enterprise or service-provider routing and switching
  • Hands-on experience designing and deploying leaf-spine data center fabrics
  • Working knowledge of InfiniBand and/or RoCE GPU back-end networks - fat-tree topology, rails, and collective traffic patterns
  • Ability to produce HLD/LLD documentation and structured cable schedules to a build-ready standard
  • Strong problem-solving and technical communication skills, and the ability to collaborate across engineering, deployment, and customer teams
  • Willingness to travel to customer and project sites (estimated 25-40%)

EXPERIENCE IN THE FOLLOWING AREAS IS A PLUS
  • NVIDIA reference architectures - GB200 / GB300 NVL72, ConnectX-7/8, Quantum InfiniBand, Spectrum-X, and DGX/HGX SuperPOD designs
  • Subnet Manager / UFM operations and InfiniBand fabric troubleshooting (trap storms, LFTs, GUID/pkey)
  • High-speed optics and structured cabling - OSFP / QSFP-DD, MPO/MTP trunking, single-mode (APC) fiber
  • NetDevOps tooling - automation, infrastructure-as-code, and source-of-truth / IPAM systems
  • Network certifications such as CCNP / CCIE, JNCIP, or NVIDIA networking credentials
  • Experience with NOC operations, managed services, or hypercare for production data centers

WHY JOIN BNS NETWORKS?
At BNS Networks, you'll work alongside a team that values technical depth, collaboration, and execution. Our engineers play a direct role in building and operating the networks behind the AI buildout - backbone, fabric, and everything in between.
If you are passionate about AI infrastructure and solving complex network engineering challenges, we encourage you to apply.
BNS is an Equal Opportunity Employer (EEO).