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The Solutions Engineer will design robotic solutions for warehouse operations by analyzing data, developing facility layouts, and building simulations. They will collaborate with Sales and customers to validate system performance and communicate the business value of robotic implementations.
About You and This Role
Robust.AI is an early-stage startup founded by an unsurpassed team of veterans in
robotics, AI, and Supply Chain who are dedicated to making the promise of Physical AI a
reality. We are a collaborative group with a diverse set of perspectives, seeking talented
individuals who are passionate about developing robotic solutions that are valuable to
customers and delightful to use. Help us redefine the very foundation of robotics and
build robots that are smart, safe, and flexible: fully autonomous and truly collaborative.
As a Solutions Engineer at Robust.AI, you will join a small, fast-paced team responsible
for designing robotic solutions for warehouse and fulfillment operations. You will work
closely with Sales and directly with prospective and existing customers to understand
their operations, analyze data, develop system concepts, and demonstrate how
Robust.AI's AMR, Carter, can improve their business.
This role combines warehouse engineering, data analysis, simulation, and customer
engagement. You will help develop solutions throughout the sales cycle, from initial
discovery and site visits through system design, simulation, proposal development, and
technical validation.
We are looking for someone who enjoys solving open-ended engineering problems, can
work across multiple customer projects, and is comfortable turning imperfect real-world
information into practical, data-driven solutions.
● Analyze customer operational data to understand order profiles, SKU profiles
throughput requirements, labor productivity, and other inputs required for design.
● Develop AMR solutions including workflows, facility layouts, cart configurations,
labor requirements, productivity estimates, and descriptions of operation.
● Build and analyze discrete-event simulations to validate system performance,
evaluate design alternatives, identify bottlenecks, and support fleet sizing.
● Develop and modify warehouse layouts using AutoCAD.
● Participate in customer discovery calls, technical discussions, site visits, and
facility walkthroughs to understand current operations and validate solution
assumptions.
● Identify missing /or inconsistent data, develop engineering assumptions, and
clearly document the inputs and methods behind solution recommendations.
● Partner with Sales to develop proposals, presentations, ROI analyses, and other
materials that communicate the operational/business value of Robust.AI solutions.
● Support customer demonstrations, technical reviews, and other engagements
throughout the sales process.
● Collaborate with Product, Software, Deployment, and Engineering teams to
evaluate technical requirements, product capabilities, implementation
considerations, and potential solution risks.
● Develop and improve internal analytical tools, simulation models, and processes
that make solution development faster, more consistent, and scalable.
● Manage multiple customer projects concurrently and prioritize work based on
deadlines and business needs.
● Experience with warehouse automation, including AMRs, AGVs, goods-to-person
systems, conveyor, sortation, or other material-handling technologies.
● Experience with discrete-event simulation software, preferably FlexSim.
● Strong Python skills for data processing, visualization, simulation, optimization, or
engineering tool development.
● Familiarity with warehouse optimization techniques such as batch picking,
zoning, order clustering, SKU slotting, and labor planning.
● Familiarity with warehouse management systems (WMS), warehouse control
systems (WCS), and other logistics software.
● Experience developing automation concepts, productivity models, capacity
models, or ROI analyses.
● Experience working directly with customers in a technical, consulting, pre-sales, or
project environment.
● Fluency in Spanish or Portuguese is a plus.
Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.
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