Level

Amazon

Telco Systems Engineering Lead, Direct-to-Device, Amazon Leo

Amazon is hiring a Telco Systems Engineering Lead, Direct-to-Device, Amazon Leo in Austin, United States. It pays $151k-$205k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
  • The posting mentions Generative AI, systems engineering and telecommunications among its tools and skills.
  • Level classes it as a lead role.
  • Amazon has 21,000+ other open roles on Level.
  • Posted within the past two weeks.

AI in this role

Lead telco systems engineering for Amazon Leo direct-to-device satellite cellular service using generative AI tools for productivity.

generative-ai
systems-engineeringtelecommunicationssatellite-communicationsrf
Amazon LEO is building a Low Earth Orbit satellite constellation designed to provide connectivity to customers around the world.

We are looking for an experienced telco systems engineering lead to oversee everything the direct-to-device (D2D) service delivers to mobile network operators (MNOs). This role turns the Amazon Leo end-to-end solution into a deployable cellular service within the global telco ecosystem: MNO integration, device and chipset interoperability, carrier profiles and service configuration, and service quality.

The ideal candidate has worked on real D2D, NTN, satellite-to-cellular, or closely related services, or has led MNO-facing technical integration for new network services. We are looking for someone who understands how MNOs, device OEMs, and chipset vendors work, can define what the service must deliver to each of them, and can bring their requirements and findings back into the architecture and development teams.

The successful candidate will combine broad cellular and service knowledge with strong customer and partner skills, strong ownership, and the ability to lead in a fast-moving, international environment.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.


Key job responsibilities
- Lead the evaluation, design, and delivery of solutions for complex interdisciplinary system problems, including defining system-level use cases, interfaces, and multi-system interactions where the technical strategy may not yet be established.
- Conduct and review trade space studies that balance performance, schedule, cost, risk, and scalability, making cross-functional trade-offs across mechanical, electrical, software, and data domains.
- Derive and refine system requirements, acceptance criteria, and performance specifications through rigorous requirements engineering, identifying gaps and escalating incomplete designs at the sub-system and system level.
- Collaborate across technical and non-technical teams to integrate designs, facilitate communication, and ensure system architecture decisions account for reliability, regulatory compliance, security, and operational readiness.
- Leverage generative AI tools and cloud computing platforms where appropriate to augment productivity, streamline system analysis, and support test-guided development practices throughout the engineering lifecycle.

Basic qualifications

- Bachelor's degree in a related field
- 8+ years of professional experience in cellular networks or services, including at least 3 years in the Direct-to-Device (D2D) ecosystem, NTN, or direct satellite-to-cellular connectivity.
- Demonstrated experience leading MNO-facing technical integration of network services.
- Working knowledge of 5G core, IMS voice, interconnect with MNO networks, and carrier configuration.
- Experience working with device OEMs and chipset vendors on interoperability and certification.
- Experience defining service KPIs and SLAs with partners.

Preferred qualifications

- Experience with Apple and Android carrier configuration and certification processes.
- Experience with MNO First Office Application (FOA) or launch of a new network service.
- Experience working with MNOs in several countries.
- Strong communication skills with demonstrated ability to work effectively across engineering teams, technology partners, customers, and leadership organizations.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, TX, Austin - 151,200.00 - 204,600.00 USD annually

How we rate this

Telco Systems Engineering Lead, Direct-to-Device, Amazon Leo at Amazon rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Systems EngineeringTelecommunicationsSatellite CommunicationsRfGenerative AI

Questions you could be asked

  1. Tell me about a project where systems engineering was part of your work. What did you do?
  2. Tell me about a project where telecommunications was part of your work. What did you do?
  3. Tell me about a project where satellite communications was part of your work. What did you do?
  4. Tell me about a project where rf was part of your work. What did you do?
  5. Walk me through how you've used Generative AI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Systems Engineering, Telecommunications, Satellite Communications, Rf, and Generative AI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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