Motorola Solutions

Applied AI Engineer I will build conversational LLM applications, proactive alerting systems, and semi- or fully autonomous agents that improve supply chain operations. The role combines generative AI, machine learning, data pipelines, and real-time operational optimization in a new-grad environment.

Build and maintain full-stack software using Java, Spring Boot, and Angular for Motorola Solutions’ Unified User Experience team. The role includes software design, development, integration, validation, testing, and documentation.

Lead the architecture and design of Android software systems for public-safety LTE/LMR devices at Motorola Solutions. This principal-level role combines deep Android expertise, systems architecture, and technical leadership.

Build and evolve large-scale cloud platforms and distributed software services using .NET, Go, Python, and Kubernetes. This experienced engineering role combines architecture, feature development, deployment automation, and participation in an on-call rotation.

Lead the architecture and operation of real-time voice AI systems that support 911 telecommunicators at scale. This senior engineering role combines LLM and agentic AI, telephony, low-latency infrastructure, reliability, and technical mentorship in a mission-critical public safety environment.

Build resilient, mission-critical Android applications that support public-safety communication, situational awareness, and emergency-response operations. You’ll work with Kotlin, Jetpack Compose, device integrations, and offline-first capabilities in a high-impact engineering environment.

Senior Software Engineer responsible for designing and building high-throughput, mission-critical SIP microservices using Go, C++, and distributed messaging technologies. The role focuses on telecom protocols, concurrency, performance, reliability, and multi-site deployments.

Senior Enterprise Software Developer responsible for architecting and building scalable backend integrations connecting LPR edge hardware with cloud, video management, and vehicle intelligence platforms. The role combines hands-on software development, technical leadership, performance optimization, and lifecycle ownership.