Senior Engineer, Satellite Resource Optimization

At Apple we strive every single day to craft products that enrich peoples lives. Our successes are the result of skilled domain experts working in an environment which encourages creativity collaboration and re-thinking of old problems in new ways! As a member of the Satellite Connectivity Group you will work on the satellite network that enables connectivity to iPhone and Watch Ultra when off the grid without cellular or Wi-Fi coverage. Every day Apple customers use Emergency SOS Roadside assistance and Messages via satellite to stay connected when they have no other means to communicate. You will have the unique and rewarding opportunity to shape this and other critical services to the benefit and safety of millions of Apple device users.n

Apple is seeking a Senior Engineer with wireless and software engineering experience to join our Satellite Communications Group radio algorithm optimization team. Our team develops the network layers monitoring systems and large-scale resilient infrastructure that enable customers to access critical communications services via satelliteeven in the most remote this role you will architect and implement scalable solutions that optimize global satellite resource usage. Youll design algorithms and systems that balance efficiency reliability and customer experience in a distributed architecture supporting unique customer-facing Apple services. nnThis is a highly visible role where your work directly impacts users in critical situations offering the opportunity to solve complex technical challenges at the intersection of satellite communications distributed systems and resource optimization.

Design and implement algorithms for efficient satellite resource allocation and network optimization across global infrastructurenDevelop and optimize network protocols and layers for satellite communication systemsnBuild monitoring telemetry and automation systems to track performance and resource utilization at scalenAnalyze system performance data to identify bottlenecks and implement algorithmic improvementsnArchitect maintaining system efficiencynCollaborate with RF engineers operations teams and product managers to define requirements and deliver end-to-end solutionsnParticipate in technical design reviews contribute to architectural decisions and mentor team membersnSupport production systems through on-call rotation and drive continuous improvement initiatives

Deep expertise in distributed systems architecture and implementation particularly in satellite networks or similar large-scale communication systemsnStrong background in algorithm design optimization and implementation for resource allocation and network efficiencynProven experience building and operating highly resilient mission-critical systems at scalenProficiency in Python Go and/or C for systems developmentnStrong understanding of network protocols and wireless communication principlesnExperience with telemetry monitoring and observability systems for distributed infrastructurenAbility to balance technical complexity with practical scalable solutionsnExcellent problem-solving skills with a track record of delivering results in fast-paced environmentsnStrong collaboration and communication skills across multidisciplinary teamsnMS in Electrical Engineering Computer Science or equivalent professional experience with 5 years of relevant industry experience in distributed systems wireless communications or satellite networks nThis position requires access to U.S. export-controlled technology and technical data regulated under the Export Administration Regulations (EAR). Applicants must be eligible to access this export-controlled information.

PhD in Electrical Engineering Computer Science or equivalentnHands-on experience with satellite networks or satellite communications systemsnProficiency in multiple languages from: Python Go and CnExperience with wireless communication principles and RF systemsnFamiliarity with regulatory compliance requirements for global communications systemsnExperience with resource scheduling and optimization in constrained network environmentnExperience building telemetry monitoring and observability systems for distributed infrastructure