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Salary: USD 95,000 - 130,000 / annual
Robust.AI is an early-stage startup building Physical AI solutions, specifically autonomous mobile robots (AMRs) for warehouse and fulfillment operations. As a Solutions Engineer, you will join a small, fast-paced team responsible for designing robotic solutions that solve real warehouse challenges.
You will work at the intersection of engineering, data analysis, and customer engagement. Your day-to-day will involve analyzing customer operational data (order profiles, SKU distributions, throughput requirements, labor productivity), developing AMR solutions with workflows and facility layouts, building discrete-event simulations to validate system performance, and using AutoCAD to design warehouse layouts. You'll participate in customer discovery calls, site visits, and facility walkthroughs to understand operations and validate assumptions. You'll develop proposals, ROI analyses, and presentations that communicate business value, and support customer demonstrations throughout the sales cycle.
You'll also collaborate across Product, Software, Deployment, and Engineering teams to evaluate technical requirements and implementation considerations, develop internal analytical tools and simulation models to improve scalability, and manage multiple customer projects concurrently.
This role requires travel up to 20–30% for customer site visits, proposal reviews, and post-deployment support.
REQUIREMENTS:
- Bachelor's degree in Industrial Engineering, Mechanical Engineering, Operations Research, Supply Chain, Computer Science, Robotics, or related technical field
- 1–4 years of experience in industrial engineering, supply chain, warehouse operations, automation, data science, or related field
- Strong analytical and quantitative problem-solving skills; ability to work with large, imperfect real-world datasets
- Proficiency with data analysis tools: Excel, Python, SQL, or Power BI
- Clear communication of technical concepts, assumptions, and analytical results to technical and non-technical audiences
- Understanding of warehouse or manufacturing operations, material flow, throughput, capacity, and labor productivity
- Experience with AutoCAD or similar CAD software for facility layouts
- Ability to manage multiple projects concurrently in a fast-paced environment
- Willingness to travel 20–30% for customer engagements
NICE TO HAVE:
- Experience with warehouse automation (AMRs, AGVs, goods-to-person systems, conveyor, sortation)
- Discrete-event simulation software experience, preferably FlexSim
- Strong Python skills for data processing, visualization, simulation, optimization, or tool development
- Familiarity with warehouse optimization techniques (batch picking, zoning, order clustering, SKU slotting, labor planning)
- Experience with warehouse management systems (WMS), warehouse control systems (WCS), and logistics software
- Experience developing automation concepts, productivity models, capacity models, or ROI analyses
- Direct customer experience in technical, consulting, pre-sales, or project roles
- Fluency in Spanish or Portuguese
