Systems Engineer I
Core
Design, integrate, and optimize automated warehousing systems and data tools to improve throughput and reliability for distribution and logistics operations.
Role type
Systems Engineer I (Automation & Logistics)
Builds
Automated warehousing solutions, data analysis tools, and process optimization models for distribution centers.
Domain
Supply Chain & Logistics / Industrial Automation
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Systems engineering lifecycle management, automated material handling system design, data engineering, machine learning, computer vision, AI-driven workflow automation, CAD, simulation modeling, cost estimation, project management fundamentals, mathematical modeling, optimization algorithms, predictive and descriptive data mining, business process optimization, technical RFP development, cross-functional collaboration.
Preferred skills
Advanced material handling solutions experience, project management experience, lifecycle implementation of engineered automation systems.
Technologies
Laser Guided Vehicles (LGVs), Automate Storage and Retrieval System (AS/RS), Automate Mobile Robots (AMRs), Warehouse Management System (WMS), CAD, PowerPoint, Word.
Responsibilities
Conduct operational, throughput, and capacity analysis; lead deployment of autonomous systems; develop KPIs and metrics; analyze operational data to identify improvements; support strategic process improvement projects; develop business tools and solutions; create cost estimates and forecasts; provide facility and capacity planning; pilot new operational technologies; design engineering concepts and systems; evaluate new technologies; communicate issues and hold parties accountable; develop technical RFPs and make recommendations; drive continuous upgrade of production facilities; work with stakeholders to enhance productivity; drive process improvements for new technology installations; provide analysis and engineering support for field operations; research and consolidate technical information; prepare expenditure proposals; formulate progress reports; apply project management concepts; develop progress reports and memos; design mathematical modeling and optimization algorithms; interpret data mining results; develop production capacity models; work with cross-functional teams to optimize data collection and analysis; deploy systems for robust analysis and reporting; champion business optimization initiatives; provide technical support to operations.
Seniority
Entry-level (0 years experience required), hands-on IC