Conveyor Solutions & Simulation Lead
About the job
- A bachelor's degree in Mechanical Engineering, Electrical Engineering, Controls Engineering, Industrial Engineering, Systems Engineering, Robotics, Computer Science, or a related technical field.
- At least 5 years of experience designing, modeling, optimizing, or validating industrial automation systems, warehouse automation layouts, robotic systems, conveyor systems, or related equipment.
- Experience with conveyor design, accumulation, buffering, merges, diverts, station interfaces, equipment utilization, and material flow constraints.
- Experience with AutoCAD or a similar 2D/3D layout tool for facility layouts, conveyor layouts, or technical design documentation.
- Experience with Emulate3D / Sim3D by Rockwell Automation or a similar simulation/modeling tool.
- Strong understanding of throughput, bottlenecks, service access, safety, installation, maintainability, mean time between failures, mean time to repair, overall equipment effectiveness, and operational robustness.
- Ability to make clear engineering tradeoffs across performance, cost, footprint, manufacturability, serviceability, customer requirements, and system behavior.
- Experience providing technical leadership to engineers, including setting direction, reviewing work, mentoring team members, and coordinating execution across disciplines.
- Ability to define and communicate technical strategy, assumptions, priorities, risks, and tradeoffs to technical and non-technical stakeholders.
- Demonstrated ability to work effectively across mechanical, electrical, controls, software, manufacturing, operations, applications, and solutions architecture teams.
- Develop and maintain standard conveyor architecture, reusable building blocks, layout rules, and interface requirements for the product platform, including conveyor modules, station interfaces, accumulation strategies, merge/divert behavior, connection methods, and mechanical constraints.
- Establish and document technical standards, reference layouts, design templates, and simulation assumptions for use by Engineering, Applications Engineering, and Solutions Architecture.
- Lead simulation, system behavior, and trade study efforts to evaluate conveyor topology, accumulation, buffering, station-to-station flow, equipment selection, footprint, cost, throughput, operational robustness, bottlenecks, and layout alternatives.
- Develop and maintain simulation models, reusable simulation components, and validation methods that support system-level design decisions.
- Partner with Controls and Software teams to ensure physical conveyor architecture and simulation models reflect sensing, programmable logic controller and control logic, fault recovery, traffic management, and system-level behavior.
- Partner with Applications Engineering to ensure solution viability reviews are grounded in clear conveyor standards, validated assumptions, and consistent performance expectations.
- Partner with Solutions Architecture to provide design guidance, layout constraints, and best practices that improve the consistency and scalability of customer-facing system layouts.
- Evaluate third-party conveyor components, vendor capabilities, and integration approaches for fit within the company's conveyor architecture and simulation environment.
- Translate deployment feedback, customer constraints, field issues, and manufacturing lessons learned into improved conveyor standards, simulation assumptions, and productized design updates.
- Maintain conveyor and simulation documentation, including standard layouts, interface control documents, design guides, modeling assumptions, validation methods, and engineering decision records.
- Provide technical leadership and mentorship in conveyor system optimization, simulation methods, and cross-functional design decision-making.
- Experience with programmable logic controllers or strong familiarity with industrial control systems.
- Experience working with conveyor vendors, systems integrators, installation teams, customer site engineering teams, or automation partners.
- Experience developing standards, design guides, templates, or reusable engineering tools for cross-functional use.
- Experience with Python and/or C++ for simulation, automation, data analysis, tooling, or performance profiling.
- Experience with Nvidia Omniverse, digital twins, virtual commissioning, model-based systems engineering tools, or other system modeling frameworks.
- Experience developing reusable simulation components, application programming interfaces, software development kits, or modeling tools.
- Experience with robotics simulation, hardware-in-the-loop testing, software-in-the-loop testing, or production software integration.
- Experience designing conveyor systems for robotic automation, fulfillment, parcel, logistics, manufacturing, or warehouse automation environments.
- Experience integrating conveyor systems with robots, sorters, scanners, sensors, programmable logic controllers, safety systems, warehouse management systems, warehouse execution systems, warehouse control systems, or customer facility controls.
- Familiarity with Git, Jira, Linux / Ubuntu environments, continuous integration and continuous delivery practices, code reviews, or modern software development workflows.
About the company
Berkshire Grey provides intelligent robotic automation for supply chain tasks in retail, eCommerce, and logistics. It automates identifying, picking, sorting, packing, and moving items in warehouses with modular, scalable hardware and software. It differentiates itself through configurable modular systems and real-world deployments like FedEx Ground, aiming to cut costs and raise throughput (potentially up to 70% cost reduction and 25–50% throughput gains). Its goal is to transform warehouses by replacing or augmenting manual labor to improve efficiency and speed in fulfillment.
Company Size
201-500
Company Stage
IPO
Headquarters
Bedford, Massachusetts
Founded
2013
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Simplify's Take
What believers are saying
- June 2026 Haarlem expansion targets EMEA demand for physical AI.
- Kardex live demo events in April 2025 and 2026 show customer pull.
- Revelio estimated 681 employees in Q1 2026, signaling operating continuity.
What critics are saying
- SoftBank sold 71.9% in July 2023, and minority liquidity disappeared.
- Delaware settlement approval on January 2, 2026 leaves merger litigation baggage.
- If SoftBank deprioritizes robotics, Berkshire Grey becomes an orphaned subsidiary with no independent exit.
What makes Berkshire Grey unique
- SoftBank wholly owns Berkshire Grey, backing long-horizon robotics deployments.
- Haarlem center validates SKU testing, training, and regional support near Schiphol.
- Kardex AutoStore integration delivers one-touch robotic picking from bins.
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Benefits
Professional Development Budget
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 0%2 year growth
↑ 1%Berkshire Grey expands footprint in Europe. Massachusetts-based robotic automation vendor opens customer engagement site near Amsterdam Schiphol Airport. Robotic automation provider Berkshire Grey will expand its European operations with the opening of a new "customer innovation center" in Haarlem, near Amsterdam, further strengthening its presence across Europe, the Middle East and Africa (EMEA), the Massachusetts-based company said on Wednesday. Located near Amsterdam Schiphol Airport, one of Europe's leading transportation hubs, the facility will serve as a hub for customer engagement, solution validation, technical training, and regional support. The location also places Berkshire Grey at the center of the logistics and warehouse automation market serving Benelux, an economic region comprising Belgium, the Netherlands, and Luxemburg. That will provide proximity to retailers, logistics providers, warehouse operators, and systems integration partners. The move comes as demand for Berkshire Grey's solutions has increased significantly across the region as retailers, e-commerce companies, and logistics providers seek proven automation technologies capable of delivering measurable operational results, the firm said.
This collaboration aims to integrate Berkshire Grey's AI-enabled robotic picking technology with Kardex's AutoStore systems, offering customers a fully automated, one-touch fulfillment solution.
For instance, in October 2021, Berkshire Grey Inc. (U.S.), the leader in AI-enabled robotic solutions that automate supply chain processes, partnered with Atos (France) to accelerate the automation of supply chain operations.
In the UK, Maersk has partnered with Berkshire Grey to deploy AI-enabled robotic solutions in warehouses, allowing for accelerated sorting and enhanced flexibility in warehousing operations.
Berkshire Grey, a developer of robotic solutions that automate supply chain processes, is partnering with Advanced Handling Systems, a system integrator of fulfillment and distribution solutions within the supply chain.