Systems Engineer I

Niagara Bottling, LLC; Diamond Bar (CA); On-site; USD 82,011 - 118,917; Full time

Benefits offered by this job

Comprehensive benefits package

Paid Time Off for holidays, sick time, and vacation

401(k) with company match

Tuition reimbursement and scholarship opportunities

Job summary

Niagara Bottling seeks a Systems Engineer I in Diamond Bar, California, specializing in distribution and warehousing technologies. This role involves designing and optimizing automated solutions to enhance logistic efficiency using advanced engineering methods.

Candidates should possess a Bachelor’s in an engineering discipline and some relevant experience, with skills in Auto CAD and SQL. A competitive compensation package, including benefits like paid time off and a 401(k) with a company match, is offered.

Qualifications

• 0-1 years of experience with advanced material handling solutions and automation systems.
• Experience in Project Management.
• Experience managing people/projects may include a combination of work experience and education.

Responsibilities

• Conduct operational analysis to support warehousing and logistics.
• Lead deployment and operational support of autonomous systems.
• Develop metrics for assigned business units.

Skills

Experience in Industry, advanced material handling solutions

Project Management

Managing people/projects

Auto CAD

SQL

Education

Bachelor’s Degree in Industrial, Mechanical, Electrical or Computer Engineering

Master’s Degree in related discipline

Tools

Simulation Tools & Modeling

Python

Job description

Systems Engineer I

Systems engineering is an interdisciplinary of engineering that focuses on the design, integration, deployment and management of complex engineering systems over their life cycles. This role focuses on Niagara’s distribution and warehousing technologies and operations, with a focus on designing, deploying, and optimizing automated solutions along with the data, simulation, and software tools that support them. The role spans the full lifecycle of automated warehousing systems, from requirements and Request for Proposals (RFPs) through simulation, commissioning, and ongoing optimization, across technologies such as Laser Guided Vehicles (LGVs), Automate Storage and Retrieval System (AS/RS), Automate Mobile Robots (AMRs), and Warehouse Management System (WMS). Beyond traditional systems engineering, the role applies concepts of data engineering, machine learning and computer vision, and AI‑driven workflow automation to improve throughput, reliability, and cost across the organization’s operation.

Essential Functions: Conduct operational, throughput, capacity, and material flow analysis to support warehousing and logistics operations. Lead the deployment, integration, and operational support of autonomous systems in manufacturing environments. Develop metrics and key performance indicators for assigned business units within Distribution and Warehousing. Uses fundamental engineering concepts, competitive analysis, critical thinking, and procedures to analyze operational data/methods, identify performance improvement opportunities, and/or implement technology systems that meet business objectives. Supports and/or leads cross‑functional strategic or process improvement projects. Develops business tools and solutions based on knowledge, product or technology. Identifies and develops business rules and standard operating procedures to streamline operating processes. Develops and maintains cost estimates, forecasts, and cost models. Provides facility and capacity planning analysis for distribution and transportation functions in Logistics. Supports the development of Distribution, Logistics & Warehouse process improvements in the plant, specific to WMS, LGV, AS/RS, autonomous robots, and various other automated or integrated material handling solutions. This includes design, specification, purchase and installation of new equipment, tools and infrastructure improvements with the assistance from a variety of plant team members. Identify opportunities to automate repetitive operations, reporting, and operational analysis tasks through development of scalable tools and solutions. Design engineering concepts/systems using tools such as CAD and Simulations. Provide accurate Capital Expense (CapEx) estimates associated with concept designs. Pilot evaluations of new operational technologies and process improvement initiatives. Communicate issues internally and hold all parties accountable as required. Develop technical Request for Proposal (RFP), tabulate and qualify proposals, and make technical recommendations on award. Drives the continuous upgrade of production facilities and processes through cost‑effective capital projects to meet changing distribution & manufacturing requirements to maintain our competitive advantage. Works closely with the Manufacturing Leadership, Facility Managers, Supervisors, and other key stakeholders to develop and implement initiatives to enhance productivity. Responsible for driving process improvements as new technology installations, current process enhancements, and cost control initiatives. Provides analysis, reporting tools, and engineering support for field operations to effectively control and to justify operational costs. Systems engineering encourages the use of modeling and simulation to validate assumptions or theories on systems and the interactions within them. Use of methods that allow early detection of possible failures, in safety engineering, are integrated into the design process. Researches, analyzes, and effectively consolidates technical or engineering related information and presents for management review. Prepares with management guidance, accurate expenditure proposals and/or cost justification analysis. Formulates and presents document research, progress, and results to team members and internal customers. Applies project management fundamentals and concepts with management guidance. Develops progress reports, meeting minutes, and field communication memos for management review. Designs, develops, and implements mathematical modeling and optimization algorithms to deliver competitive intelligence and improvements in business processes, specifically, in the Supply Chain and Logistics areas. Interprets and analyzes the results of predictive and descriptive data mining models to assist in decision making. Develops production capacity models based on production information and forecasted sales. Works closely with cross functional teams, OEM’s, and systems team to develop efficient and effective methods to collect, analyze, and optimize data. Develops and deploys systems and models that will drive robust analysis and reporting to support accurate and timely value driven business solutions for the both short term and longer term strategies. Develops and improves reporting systems that intuitively detect, highlight, and illustrate developing trends and relationships allowing the organization to rapidly respond. Champions initiatives to improve the understanding of business optimization at all levels of the organization. Works closely with each the operations to drive consistency in systems where appropriate and provide technical support as appropriate. Combines solution results with graphics to create presentations and reports (PowerPoint, Word) for daily reporting both interdepartmentally and across multiple departments.

This position requires up to 25% travel.

Minimum Qualifications

• 0-1 Years – Experience in Industry, advanced material handling solutions & information technologies along with 1-3 lifecycle implementations of engineered automation systems with varied complexities.
• 0-1 Years – Experience in Project Management.
• 0-1 Years – Experience managing people/projects. *experience may include a combination of work experience and education.

Preferred Qualifications

• 2 Years – Experience in Industry, advanced material handling solutions & information technologies along with 3-5 lifecycle implementations of engineered automation systems with varied complexities.
• 2 Years – Experience in Project Management.
• 0 Years – Experience managing people/projects. *experience may include a combination of work experience and education.

Education

• Minimum: Bachelor’s Degree in Industrial, Mechanical, Electrical or Computer Engineering or any related discipline of engineering, or the equivalent in combined education and considerable experience in similar field may be considered equivalent.
• Preferred: Master’s Degree in Industrial, Mechanical, Electrical or Computer Engineering or any related discipline of advanced Engineering.

Licenses / Certifications

• Required: Auto CAD, SQL.
• Preferred: Simulation Tools & Modeling, Python.

Compensation

Typical Compensation Range: Salary $82,011.54 - $118,916.74 / Yearly.

Benefits

• Regular full‑time team members are offered a comprehensive benefits package; part‑time, intern, and seasonal team members are offered a limited benefits package.
• Paid Time Off for holidays, sick time, and vacation time.
• Paid parental and caregiver leaves.
• Medical, including virtual care options.
• Dental, Vision.
• 401(k) with company match.
• Health Savings Account with company match.
• Flexible Spending Accounts.
• Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members.
• Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements.
• Income protection including Life and AD&D, short and long‑term disability, critical illness and an accident plan.
• Special discount programs including pet plans, pre‑paid legal services, identity theft, car rental, airport parking, etc.
• Tuition reimbursement, college savings plan and scholarship opportunities.
• And more!

Location

LosAngelesCounty applicants only. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the LosAngelesCounty Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws.

Equal Opportunity Employer

Niagara Bottling LLC is an Equal Opportunity Employer that does not discriminate on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status or disability in relation to our recruiting, hiring, and promoting practices.