
201 - 500 employés
Fondée en 2013
📦 Logistique
🏭 Fabrication
🤖 Intelligence artificielle
Logistics • Manufacturing • Artificial Intelligence
Berkshire Grey est une entreprise de robotique dotée d'intelligence artificielle qui conçoit, fabrique et déploie des systèmes intégrés de matériel et de logiciels robotiques pour automatiser les tâches d'entrepôts et de chaînes d'approvisionnement telles que le déchargement de remorques, la préparation de commandes robotisée, la consolidation de murs de tri, le tri de colis et le réapprovisionnement des magasins. Leurs solutions combinent la vision par ordinateur, des préhenseurs spécialisés et des logiciels d'apprentissage automatique pour augmenter le débit, réduire la dépendance à la main-d'œuvre et s'intégrer aux opérations d'entreprise existantes pour les détaillants, l'e-commerce et les prestataires logistiques.
🕒 il y a 11 jours
🍂 Massachusetts – Distant
💵 $127 000 - $180 000 / an
⏰ Temps Plein
🟠 Senior
🧑💻 Développeur Full-Stack
🦅 Parrain de Visa H1B
👻 Score fantôme 4%
🗣️🇺🇸🇬🇧 Anglais requis
D'où vient cette offre
Publiée sur la page carrières de Berkshire Grey, pas via un site d'emploi
Repérée par Remote Rocketship il y a 11 jours
Toujours ouverte sur le site de Berkshire Grey. Vérifiée il y a 23 minutes.

201 - 500 employés
Fondée en 2013
📦 Logistique
🏭 Fabrication
🤖 Intelligence artificielle
Logistics • Manufacturing • Artificial Intelligence
Berkshire Grey est une entreprise de robotique dotée d'intelligence artificielle qui conçoit, fabrique et déploie des systèmes intégrés de matériel et de logiciels robotiques pour automatiser les tâches d'entrepôts et de chaînes d'approvisionnement telles que le déchargement de remorques, la préparation de commandes robotisée, la consolidation de murs de tri, le tri de colis et le réapprovisionnement des magasins. Leurs solutions combinent la vision par ordinateur, des préhenseurs spécialisés et des logiciels d'apprentissage automatique pour augmenter le débit, réduire la dépendance à la main-d'œuvre et s'intégrer aux opérations d'entreprise existantes pour les détaillants, l'e-commerce et les prestataires logistiques.
• Develop and maintain standard conveyor architecture, reusable building blocks, layout rules, and interface requirements for the Stride product platform • Establish and document technical standards, reference layouts, design templates, and simulation assumptions • Lead simulation, system behavior, and trade study efforts evaluating conveyor topology, accumulation, buffering, station-to-station flow, equipment selection, footprint, cost, throughput, robustness, bottlenecks, and layout alternatives • Develop and maintain simulation models, reusable simulation components, and validation methods • Partner with Controls and Software teams to align conveyor architecture and simulation models with sensing, PLC/control logic, fault recovery, traffic management, and system behavior • Partner with Applications Engineering on solution viability reviews • Partner with Solutions Architecture on design guidance, layout constraints, and customer-facing system layouts • Evaluate third-party conveyor components, vendor capabilities, and integration approaches • Translate deployment feedback, customer constraints, field issues, and manufacturing lessons into improved standards 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 optimization, simulation methods, and cross-functional design decisions
• 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 • Experience with Emulate3D / Sim3D by Rockwell Automation or a similar simulation/modeling tool • Strong understanding of throughput, bottlenecks, service access, safety, installation, maintainability, MTBF/MTTR, OEE, 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 • PLC experience or strong familiarity with industrial controls 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 • Experience with Python and/or C++ for simulation, automation, data analysis, tooling, or performance profiling • Experience with Nvidia Omniverse, digital twins, virtual commissioning, MBSE tools, or other system modeling frameworks • Experience developing reusable simulation components, APIs, SDKs, 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, PLCs, safety systems, WMS/WES/WCS platforms, or customer facility controls • Familiarity with Git, Jira, Linux / Ubuntu environments, CI/CD practices, code reviews, or modern software development workflows • Bachelor's degree in a related technical field is preferred
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