Software Engineer Fresh Graduate

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

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Department Overview

Accessory & Energy Department responsible for developing communication devices & accessories for the professional and mission critical markets in the commercial, government and industrial segments

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Job Description

• Requirement Analysis: Collaborate with product managers and cross-functional teams to translate business requirements and user needs into technical specifications and testable features.

• Web Development: Assist in developing robust frontend interfaces and scalable backend services. Contribute to building responsive, user-friendly, and secure web applications.

• AI Integration: Research, evaluate, and implement AI solutions. This includes connecting applications to Large Language Models (LLMs) via APIs, exploring Retrieval-Augmented Generation (RAG) pipelines, and utilizing AI development tools.

• Cloud Operations: Deploy and manage application components on cloud infrastructure, ensuring high availability, security, and performance.

• Debugging & Troubleshooting: Monitor application performance, investigate bugs, and write automated tests to ensure code reliability and smooth user experiences.

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Basic Requirements

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Education: Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field (recent graduates are encouraged to apply).

• Web Development Foundations: Understanding of modern web architectures (RESTful APIs, MVC) and proficiency in at least one core programming language (e.g., Python, JavaScript/TypeScript, Java, or C#).

• Good with frontend frameworks (e.g., React, Vue, Angular) and backend frameworks (e.g., Node.js, Django, FastAPI).

• Familiarity with containerization (Docker) and CI/CD pipelines.

• Understanding of vector databases or AI agent frameworks (e.g., LangChain).

• AI Knowledge: Fundamental understanding of machine learning concepts, Generative AI, and prompt engineering. Experience consuming AI APIs (e.g., OpenAI, Anthropic) through academic or personal projects is highly valued.