Solutions Engineer

Robust AI; San Carlos (CA); Remote; USD 95,000 - 130,000; Full time

Benefits offered by this job

Remote work

Stock options

Full benefits (health, dental, vision,

Flexible vacation and sick leave

Job summary

Robust AI is seeking a Solutions Engineer to design robotic solutions for warehouse and fulfillment operations. You will analyze customer data, develop system concepts, and demonstrate how Carter AMR can improve business metrics.

You will participate in discovery calls, site visits, and proposal development, collaborating with Sales, Product, Software, and Deployment teams. The role blends warehouse engineering, data analysis, simulation, and customer engagement.

Qualifications

• Bachelor's degree in a technical field as listed.
• Strong analytical and quantitative problem-solving skills.
• Experience with large, imperfect real-world datasets.
• Ability to communicate technical concepts to varied audiences.

Responsibilities

• Analyze customer data to understand orders, SKUs, throughput, and labor productivity.
• Develop AMR workflows, layouts, and configurations.
• Build and analyze simulations to validate designs and sizing.
• Create facility layouts using AutoCAD and document assumptions.
• Support sales with proposals, ROI analyses, and demonstrations.

Skills

Analytical thinking

Data analysis

Communication

Multitasking

Education

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

Tools

AutoCAD

Excel

Python

SQL

Power BI

Job description

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.
• 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 materials that communicate the operational and 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.