Solutions Engineer

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. Main Responsibilities

● 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.

Minimum Requirements ● Bachelor's degree in Industrial Engineering, Mechanical Engineering, Operations
Research, Supply Chain, Computer Science, Robotics, or a related technical field.

● Strong analytical and quantitative problem-solving skills, with the ability to work
with large and imperfect real-world datasets.

● 1–4 years of experience in industrial engineering, supply chain, warehouse
operations, automation, data science, or a related field.

● Experience analyzing data using tools such as Excel, Python, SQL, or Power BI.

● Ability to clearly communicate technical concepts, assumptions, and analytical
results to both 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 and work effectively in a fast-
paced environment.

● Willingness to travel up to 20–30% for customer site visits, proposal reviews,
demonstrations, and post-deployment support.
Nice to Have

● 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.

What You'll Bring to the Table ● A genuine passion for robotics, automation, and warehouse logistics, with
curiosity about how technology can improve real-world operations.

● A strong problem-solving mindset and comfort working on problems where the
answer is not immediately obvious.

● Attention to detail and a willingness to question inputs, validate assumptions, and
sanity-check analytical results.

● The ability to move between data, layouts, simulation models, and customer
conversations to understand how an operation works as a complete system.

● Strong ownership of your work and the ability to clearly explain what you
analyzed, what you assumed, what you found, and what you recommend.

● A collaborative mindset and enthusiasm for working across Sales, Engineering,
Product, Software, and Deployment teams.
What We Offer
● $95,000–$130,000, experience dependent
● Full benefits (health, dental, vision, life)
● Stock options
● Flexible vacation and sick leave practices
● Remote work
● Opportunity for career growth
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.