Solutions Engineer at Robust AI in San Carlos, CA

  • Company: Robust AI
  • Location: San Carlos, CA
  • Job type: full time
  • Workplace: remote
  • Posted: 2026-10-12

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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, 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

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