System Reliability Test Engineer
Symbotic- Full Time
- Junior (1 to 2 years)
Candidates should have a degree in engineering or a related field and hands-on experience in reliability engineering. Proficiency in reliability modeling tools such as Reliasoft, Weibull++, and JMP is required, along with experience in data analysis and statistical methods. Strong collaboration skills are essential for working with cross-functional teams and external labs.
The Reliability Engineer will develop and manage reliability test plans and testing infrastructure to validate robotic systems. They will analyze data, perform failure analysis, and collaborate with engineering teams to implement corrective actions. Additionally, the role involves managing supplier reliability testing, developing test fixtures, and publishing reliability growth metrics.
AI-powered robotic solutions for logistics
Dexterity.ai develops AI-powered robotic technology aimed at improving logistics and supply chain management, particularly in trailer loading. Their robots autonomously pick and induct parcels into sorting systems at speeds faster than humans. A key feature of their technology is its ability to understand the environment in real-time without needing external data feeds or software integration, making it adaptable for various operations. Dexterity.ai serves a range of clients, from small businesses to large corporations like FedEx, focusing on enhancing operational efficiency, employee safety, and attracting talent through automation. They generate revenue by selling their robotic solutions and providing consultation services for technology integration, with the goal of transforming the logistics industry into a safer and more efficient environment.