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Systems Development Engineer I (Advanced Robotics & AI Systems)

Niagara Bottling
Diamond Bar, United Statesfull_timeVerifiedPosted 9 Apr 2026
💰 $118,917/yr($82,012/yr – $118,917/yr)

About the role

At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.

Consider applying here, if you want to:   

  • Work in an entrepreneurial and dynamic environment with a chance to make an impact.   
  • Develop lasting relationships with great people.   
  • Have the opportunity to build a satisfying career.

We offer competitive compensation and benefits packages for our Team Members.

Systems Development Engineer I (Advanced Robotics & AI Systems)

The Systems Development Engineer I is responsible for engaging with an experienced cross-disciplinary team to conceive, design, and bring to market innovative Predictive Maintenance systems. You will execute the roadmap and drive innovation to help deliver top-notch solutions for our manufacturing teams. You will build robust, secure and scalable infrastructures that will support and protect data, applications and services for Predictive analytics.

  • ​Design, construct, install, test and maintain highly scalable data management systems
  • Ensure systems meet business requirements and industry practices
  • Integrate new data management technologies and software engineering tools into existing structures
  • Create custom software components (e.g. specialized UDFs) and analytics applications
  • Employ a variety of languages and tools (e.g. scripting languages) to marry systems together
  • Recommend ways to improve data reliability, efficiency and quality
  • Collaborate with data architects, modelers and IT team members on project goals
  • Evaluate and implement changes and improvements to development tool systems
  • Work closely with internal and external interdisciplinary teams to drive key aspects of product scope, execution, test and maintain database structures.
  • Data Acquisition:
    • Develop automation frameworks that enable efficient data acquisition, post-processing, and test execution
    • Develop requirements for data acquisition from manufacturing field assets
    • Configure and test data tags into Edge computing platform and ensure stable connections.
    • Support readiness reviews and validation to ensure efficient execution.
    • Research opportunities for data acquisition and new uses for existing data
  • Data Wrangling and Modelling:
    • Develop data set processes for data modeling, mining and production
    • Design, develop, and test logics to manipulate data for business requirements.
    • Join the edited data for further use and analysis.
    • Cleanse the data into a usable and functional format and correct/remove any bad data.
    • Design and develop requirements to optimize storage of data using mathematical models.
  • Data Science and Business Intelligence:
    • Engage in statistical and exploratory analysis of datasets using ML techniques
    • Use the insights to build robust classification and prediction models.
    • Build high-performance algorithms, prototypes, predictive models and proof of concepts
    • Test and deploy machine-learning algorithms, publish results and enhance models for accuracy.
  • Application Development:
    • Understanding requirements and how they translate to new application features
    • Collaborating with development team and other IT staff to set specifications for new applications
    • Design creative prototypes according to specifications.
    • Perform unit and integration testing before launch, Conduct functional and non-functional testing
    • Develop technical documents and handbooks to accurately represent application design and code
  • Process Automation development:
    • Collaborate with IT and Manufacturing Information Systems groups as a part of implementation of projects.
    • Selecting features, building and optimizing automation processes using machine learning and data acquisition techniques
    • Data mining using state-of-the-art methods
    • Extending company’s data with third party sources of information when needed
    • Enhancing data collection procedures to include information that is relevant for building analytic systems
    • Processing, cleansing, and verifying the integrity of data used for analysis
    • Doing ad-hoc analysis and presenting results in a clear manner
  • Systems Development Engineer I is estimated to travel 20-40%
  • Please note this job description is not a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without

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Company

Niagara Bottling

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