Zebra Technologies is a community of innovators creating smart solutions. As an Agentic AI/ Edge Computing SW Engineer, you will build intelligent systems that connect hardware with AI processing, developing scalable solutions to process real-time data and enhance productivity.
Design, develop, and test a variety of AI-driven software assignments as part of a larger project
Contribute to the implementation of production-grade AI agent systems, from single-purpose agents to more complex frameworks
Develop and maintain AI-powered applications on Android platforms, including creating data pipelines to on-premises servers for AI processing
Implement and maintain data pipelines between mobile devices and AI servers, leveraging knowledge of networking technologies
Collaborate with senior engineers to develop and integrate AI agents into our New Product Development playbooks
Participate in project code reviews and provide input on software design
Implement AI model pipelines, including data preprocessing and inference, into software systems
Conduct rigorous testing of AI models and software to ensure reliability, accuracy, and compliance with requirements; review test results and perform root cause analysis to identify problems
Make changes or upgrades to existing software, enhancing and improving existing technologies to apply to new solutions
Create and maintain technical documentation for software, APIs, and system components
Stay up to date with the latest AI and software development tools, frameworks, and technologies to drive innovation
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or a related discipline
2+ years of professional software development experience, or a Master's degree with relevant project/internship experience
At least 1 year of practical exposure to AI/ML systems, frameworks, or AI-enabled applications (can be through projects, internships, or professional work)
Proficiency in Python and experience with modern AI frameworks and libraries (e.g., LlamaIndex, LangChain, OpenAI APIs, TensorFlow/PyTorch, Hugging Face)
Experience with Docker Containers and Kubernetes
Understanding of networking concepts and data transfer protocols (e.g., REST APIs)
Familiarity with AI agent concepts such as planning, tool use, and reasoning
Solid software engineering fundamentals, including data structures, algorithms, and version control (Git)
Preferred
Master's degree in a relevant field
Experience with or knowledge of Android application development
Knowledge or previous projects in training and fine tuning AI models is highly desired
Knowledge of Retrieval-Augmented Generation (RAG) and its integration with vector databases
Experience with MLOps and deploying AI/ML models in a cloud environment (e.g., AWS, GCP, Azure)
Exposure to Nvidia CUDA toolkit
Familiarity with Agent Development Kits (ADK)
Experience building or contributing to multi-agent systems
Experience integrating AI solutions with enterprise tools and APIs
Benefits
Performance-based annual cash incentive
Community service days
Traditional insurances
Compensation
Parental leave
Employee assistance program
Paid time off offerings
Zebra Technologies delivers barcode printers, scanners, RFID, and mobile computing solutions for business visibility. It is a sub-organization of Extreme Networks.
