Agentic AI/ Edge Computing SW Engineer

Zebra TechnologiesHoltsville, NY
$86,100 - $129,100Hybrid

About The Position

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being a part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about – locally and globally. Come make an impact every day at Zebra. As the Agentic AI/ Edge Computing SW Engineer, you will help build the next generation of intelligent systems that bridge our hardware products with sophisticated backend AI processing. You will be responsible for creating and implementing robust AI-powered workflows that process real-time data from a variety of distributed endpoints. This involves designing and developing solutions that are scalable, efficient, and capable of delivering actionable insights within complex enterprise environments. This role is a critical part of our broader initiative to revolutionize our engineering organization by leveraging autonomous and semi-autonomous AI agents. You will apply rigorous software engineering principles to transform AI innovations into practical, reliable, and performant solutions that will redefine productivity and accelerate new product development across Zebra. This role is a hybrid position and requires a minimum of three days per week in one of the Zebra office locations listed below: Zebra reserves the right to modify your work location based on business need. - Holtsville, NY - Mississauga, ON Canada

Requirements

  • 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).

Nice To Haves

  • 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.
  • A pragmatic, "builder" mindset with a passion for prototyping and iterative development.
  • Excellent problem-solving skills and an eagerness to tackle complex challenges.
  • Good understanding of software engineering principles (e.g., system design, CI/CD).
  • Strong collaboration and communication skills.
  • Curiosity and a drive to learn new technologies.

Responsibilities

  • 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.

Benefits

  • Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive – including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work.
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