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

Job description

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.