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Principal Architect III - Edge Innovation Engineer

Job in Greenwood Village, Arapahoe County, Colorado, USA
Listing for: Charter Communications
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Imagine shaping the future of connectivity by designing enterprise architectures that drive groundbreaking edge innovations. As an Edge Innovation Engineer at Spectrum, you'll guide the transformation of next-generation platforms, collaborating to deliver seamless experiences across mobile, internet, live TV, and advanced WiFi. Your expertise will define the technology roadmap, ensuring our customers benefit from reliable and cutting-edge products that set new standards in the industry.

Join us to make a lasting impact on how millions connect and interact.

How You ll Make an Impact
  • Lead and set the architectural direction for enterprise-wide edge innovation programs
  • Provide expert technical guidance to development and operational teams for project delivery
  • Oversee architect teams in formulating and reviewing new software and hardware platform designs
  • Design, support, and maintain Spectrum s application systems and infrastructure within assigned technology domains
  • Develop and manage architectural frameworks for system development, maintenance, and enhancements
  • Collaborate closely with developers, engineers, and business stakeholders to align roadmaps and integrate systems
  • Define technology strategy, standards, and practices while evaluating interoperability, usability, scalability, and security across platforms
Working Conditions
  • Office environment with the option to work in a hybrid model combining in-office and remote days
  • Full-time schedule

What You ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor s degree in Information Technology, Computer Science, MIS or equivalent combination of education and experience

Experience

  • 10+ years of cumulative experience in system installation, configuration, operations, software development, or database development

Skills

  • Advanced expertise in software development, network engineering, and delivering complex end-to-end solutions
  • Deep knowledge of cloud computing, containerization, mobile applications, big data, and machine learning
  • Proficiency in GPU technology including NVIDIA CUDA, cuDNN/Tensor

    RT for AI/ML, and graphics APIs such as OpenCL, Vulkan, OpenGL, and Direct3D
  • Experience with Multi-Instance GPU partitioning and virtual GPU orchestration for edge and cloud environments
  • Hands-on skills with Kubernetes design, multi-cluster operations, container runtimes, and GPU scheduling using device plugins; infrastructure automation with Terraform and Ansible
  • Familiarity with hierarchical orchestration of edge devices, distributed workloads, and policy-driven placement across network zones
  • Experience with Blue Field-3 DPUs and integrating DPUs with Kubernetes/CNI and service meshes for networking and security
  • Expertise in distributed systems including databases, storage, streaming, observability, and high-throughput data planes supporting AI workloads
  • Knowledge of VMware vSphere/NSX for virtualized GPU workloads and multi-cloud integrations
  • Ability to read, write, speak, and understand English
  • Strong change management, planning, prioritization, and independent project leadership skills
  • Effective decision-making and problem-solving under pressure
  • Proven relationship-building for influencing business roadmaps and stakeholder engagement
Preferred Qualifications

Education

  • Master s degree in Computer Science, Electrical Engineering, or related field, or equivalent advanced professional certifications
  • Industry certifications such as CCIE, AWS Solutions Architect Professional, Kubernetes CKA/CKAD or equivalent cloud/network architecture credentials

Experience

  • Demonstrated leadership of cross-functional teams on large-scale, enterprise-wide technology projects
  • Experience designing solutions using AI/ML pipelines, edge computing, and low-latency architectures such as L4S and 5G MEC
  • Hands-on expertise with GPU broker/virtualization and edge GPUaaS models supporting segmented and high-throughput traffic

Skills

  • Experience contributing to open-source projects or standards bodies (IETF, IEEE, Broadband Forum, CNCF)
  • Hands-on experience architecting solutions for…
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