Senior RAN Intelligence and Assurance Engineer

Company: EchoStar
Location: Littleton, CO, US
Salary : $96,250-$137,500 per year

JobDetails

Description
Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.


Department Summary

Our Wireless Technology organization is transforming the future of connectivity. We’re doing it by building the country’s first virtualized, standalone 5G wireless network from scratch. The foundation of a connected world, it’s a network free of the limitations of the past, and flexible enough to satisfy all the social, economic and transformative needs of the changing world.


Job Duties and Responsibilities

Key Responsibilities:

  • Lead the end-to-end lifecycle of AI/ML initiatives focused on enhancing RAN performance, including use case definition, solution design, modeling, and deployment in live networks.
  • Develop frameworks that enable automated network decision-making, including dynamic resource allocation, anomaly detection, and predictive planning.
  • Translate high-level business and technical requirements into actionable engineering roadmaps with clear success metrics and deliverables
  • Ensure operational readiness for AI solutions, including testing, validation, monitoring, and maintenance procedures that support large-scale deployment.
  • Stay informed on emerging technologies in AI/ML, network virtualization, and RAN architectures, and provide strategic input to guide innovation.
  • Act as a thought leader and mentor within the organization, helping elevate AI literacy and engineering rigor across teams.
  • Foster partnerships to drive innovation and automation in network design, deployment, and optimization
  • Enable data analytics and AI/ML models for the network monitoring, operations and assurance
  • Automate repetitive tasks through scripting and leveraging AI automated workflows.
Skills, Experience and Requirements

Education and Experience:

  • Bachelor’s or master’s degree in a technical discipline (computer science or electrical engineering degree preferred)
  • 7+ years of experience working within the wireless industry

Skills and Qualifications:

  • Familiarity with Wireless network architecture technologies, concepts, and industry standards
  • Proven track record in assessing and deploying AI technologies across RAN systems.
  • Experience deploying and managing SON platforms.
  • Strong understanding and practical knowledge of AI-RANI, RIC architectures and rApp development.
  • Experience in RF Design or Optimization in a multi-technology network environment
  • Skilled in RF optimization, network automation, and optimization processes and tools
  • Experience with Cloud Deployments.
  • Knowhow in RAN Performance Metrics
  • Experience coding in Python
  • Familiarity with AI/ML models and data science projects
Salary Ranges

Compensation: $96,250.00/Year - $137,500.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

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