
201 - 500 employees
Founded 2013
📦 Logistics
🏭 Manufacturing
🤖 Artificial Intelligence
Logistics • Manufacturing • Artificial Intelligence
Berkshire Grey is an AI-enabled robotics company that designs, manufactures, and deploys integrated robotic hardware and software systems to automate warehouse and supply-chain tasks such as trailer unloading, robotic picking, put-wall consolidation, package sortation, and store replenishment. Their solutions combine computer vision, specialized grippers, and machine-learning software to increase throughput, reduce labor dependency, and integrate into existing enterprise operations for retailers, e-commerce, and logistics providers.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $80k - $110k / year
⏰ Full Time
🟠 Senior
📞 Support Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 4%
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201 - 500 employees
Founded 2013
📦 Logistics
🏭 Manufacturing
🤖 Artificial Intelligence
Logistics • Manufacturing • Artificial Intelligence
Berkshire Grey is an AI-enabled robotics company that designs, manufactures, and deploys integrated robotic hardware and software systems to automate warehouse and supply-chain tasks such as trailer unloading, robotic picking, put-wall consolidation, package sortation, and store replenishment. Their solutions combine computer vision, specialized grippers, and machine-learning software to increase throughput, reduce labor dependency, and integrate into existing enterprise operations for retailers, e-commerce, and logistics providers.
• Diagnose complex failures across robotic hardware, software, controls, Linux, and networks • Analyze logs, telemetry, and system data to recreate failures and establish root causes • Troubleshoot sensors, cameras, actuators, conveyor systems, PLC/HMI interfaces, and calibrations • Develop API integrations and automated support workflows • Use GitHub and approved release processes for software changes • Use AI agents for diagnostics, data analysis, scripting, knowledge retrieval, and documentation • Validate AI outputs, troubleshoot agent interactions, and protect customer data • Lead high-severity incident calls, coordinate responders, and verify recovery with customers • Manage Salesforce cases and Jira issues with timely updates, clear ownership, and complete evidence • Partner with Program and Project Management, Engineering, Supply Chain, and Customer Success teams on technical risks and customer improvement • Coordinate Support, Field Services, and Deployment through commissioning and support handover • Coordinate safe recovery, field work orders, parts replacement and replenishment, and corrective actions through completion • Communicate technical findings, customer impact, and next steps to customers and leadership • Improve restoration times, customer experience, and reliability through measurable corrective actions • Mentor engineers and maintain knowledge articles, standard operating procedures, and runbooks
• Bachelor’s degree in Engineering, Computer Science, or Robotics, or equivalent practical experience • 7+ years of relevant experience • 3+ years resolving complex robotics or automation issues in a customer-facing role • Strong Linux/Unix administration and robotic hardware diagnostic skills • Network diagnostics across TCP/IP, switching, routing, VLANs, DNS, VPNs, and firewalls • Programming or scripting in Python, Bash, C++, Java, or similar languages • Experience with GitHub • Experience with databases, SQL, log analysis, APIs, and AI agents or coding assistants • Kubernetes cluster management experience • Proven escalation ownership and sustained collaboration across engineering and service teams • Clear communication with customers, executives, and nontechnical stakeholders under pressure • Strong analytical judgment, attention to detail, and prioritization in ambiguous, urgent situations • Less than 5% travel expected; may reach 20% or higher during training
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