RAN System Engineer

Drive feature provisioning end-to-end—from requirements definition and vendor engagement through integration, validation, and controlled enablement across the network—ensuring new capabilities are introduced reliably and without degrading existing performance.
Manage customer and partner expectations by translating complex system constraints and development timelines into clear, honest, and actionable communications; serve as the primary technical point of contact for feature-related inquiries from operators, partners, and key stakeholders.
Collaborate with system integration, DSP, RF, and core network teams to align baseband behavior with AST's product goals.
Define test strategies and validation plans that ensure system-wide performance across the satellite, ground, and RAN layers.
Serve as a key technical interface to RAN vendors and partners, participating in debugging, integration workshops, and roadmap alignment.
Lead end-to-end RAN performance optimization by analyzing and tuning eNB/gNB behavior to maximize cell throughput (TpT), coverage, reliability, and interference efficiency.
דרישות התפקיד
BSc or MSc in Electrical Engineering, Communications Engineering, or related field from a recognized institution.
Relevant certifications in cellular systems or wireless communications (e.g., 3GPP, LTE/5G) are a plus.

Experience:

A minimum of 5 years in cellular system engineering, RAN performance, or architecture roles (including vendor-side experience).
Proven experience in real cellular network deployment and optimization (lab and field).
Expertise in 3GPP specifications for 4G and 5G, with hands-on interpretation and application to system design.
Demonstrated experience owning or co-owning a technical product roadmap, including prioritization under uncertainty and communication of trade-offs to non-engineering stakeholders.

Preferred Qualifications:

Experience with non-terrestrial networks (NTN) or space-ground hybrid architecture.
Hands-on background with beamforming systems, antenna arrays, and RF front-end constraints.
Familiarity with traffic modeling, scheduler design, and spectral efficiency optimization at scale.
Experience working with RAN vendors (e.g., integration, debugging, feature enablement).
Knowledge of fronthaul protocols (CPRI/eCPRI) and transport considerations in constrained or high-latency environments.
Background in predictive modeling, data sci