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How much do internship capacity planning engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship capacity planning engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.
Industrial Engineer - Network Capacity Planning

Industrial Engineer - Network Capacity Planning

Stord

Las Vegas, NV

$66K - $90K/yr

Full-time

Posted 10 days ago

Stord rating

3.8

Company rating: 3.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.

By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.

With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord's end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.

Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.

The Network Capacity Industrial Engineer serves as the source of truth for engineering across Stord's fulfillment network. This role builds and maintains models that quantify storage, picking, and throughput capacity across all active sites-providing the data foundation that informs decisions across operations, real estate, sales, and leadership.
Highly visible and analytically rigorous, this position sits at the intersection of engineering, operations, and business planning. The ideal candidate pairs strong industrial engineering fundamentals with sharp data instincts, and can translate complex models into clear, actionable insights for senior stakeholders.What You'll Do:

  • Network Capacity Modeling:Build and maintain a network-wide capacity model covering storage, pick, and throughput across all active sites; refresh inputs on a defined cadence (e.g., weekly/monthly) and ensure visibility for operations and leadership.

  • Storage & Space Utilization:Analyze utilization and density across facilities; quantify improvement opportunities and partner with site teams to implement layout, slotting, or process changes.

  • Cross-Functional Partnership:Partner with Sales, Operations, and Solutions Engineering to validate capacity assumptions and ensure customer commitments align with actual network constraints.

  • Continuous Improvement:Identify recurring capacity constraints and develop data-backed engineering recommendations to improve throughput, storage efficiency, and labor productivity.

Basic Qualifications:

  • Bachelor's degree in Industrial Engineering, Supply Chain, Operations Research, or a related field

  • 3+ years of experience in industrial engineering, network planning, capacity modeling, or warehouse operations

  • Advanced proficiency in Excel or Google Sheets (e.g., pivot tables, index/match or XLOOKUP, data modeling)

  • Experience building and maintaining capacity, labor, or throughput models using real operational data

  • Ability to translate analysis into clear outputs (e.g., dashboards, summaries, or presentations) for non-technical stakeholders

  • Working knowledge of warehouse operations, including storage systems, slotting, picking workflows, and labor planning concepts

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