דרושים Water Engineering Technician Facilities ב-Tesla ב-United States, Austin

• Program and debug structure text and ladder logic code on multiple PLC controller platforms (B&R Automation Studio, Beckhoff TwinCAT and Siemens TIA Portal

• Develop code that is organized, structured, documented, maintainable and reusable

• Create robust programs and sequences to control complex, multi-station machinery to perform processes such as material pick and place, dispense, fastening, welding, testing and material transport

• Use Python scripting and SQL to interface equipment with Tesla Manufacturing Execution System (MES) and to collect data into production databases

• Create intuitive operator touchscreen interfaces using MappView/TwinCAT HMI and SCADA dashboards screens using Ignition

• Set up and tune servo drives and VFDs for fast and smooth operation (Schneider, B&R, Beckhoff, Siemens, SEW)

• Design and implement control reliable safety systems for safeguarding robots, gantries, conveyors, and other high-volume manufacturing equipment as per codes and standards

• Manage electrical cabinet builds, field wiring, pneumatic and fluid plumbing

• Participate in initial equipment conceptual development and carefully balance product specifications, process requirements, layout complexity, cost, and lead-time limits

• Manage suppliers during specification, design, buyoff and installation of automated manufacturing equipment

• Bachelor’s Degree in Electrical, Mechanical or Mechatronics Engineering, Computer Science or 5+ years’ experience in Control Systems Design and Implementation

• PLC (Siemens, Beckhoff or B&R preferred)

• Human Machine Interface (HMI / GUI – Beckhoff View, WinCC, Ignition)

• Proficiency creating detailed electrical and fluid schematics in CAD (EPLAN preferred)

• Structured Text (IEC 61131-3) programming skills

• Lead uptime (HW reliability, software faults, maintenance schedules, etc.), and cycle time and FPY improvements on manufacturing test equipment
• Collaborate with Manufacturing Engineering, Process Engineering, Quality Engineering, and Maintenance Engineering to ensure manufacturing test equipment meet and exceed expectations. Understand shortcomings when expectations are not met
• Perform preemptive data analysis and voice of the customer (VOC) discussions to understand challenges with manufacturing test equipment post deployment, and advocate for solutions that align with both equipment and production goals
• Understand engineering first principles of test equipment and have a system level grasp of operations to serve as a key contact for the design team and site operations
• Build and validate test equipment, then deploy to production lines at our contract manufacturers in Mexico, while verifying tester documentation to ensure a seamless handoff to production
• Provide ongoing troubleshooting support for these testers after deployment
• Support equipment troubleshooting and qualification during development and ramp-up of manufacturing equipment
• Domestic travel up to 30%

• Exposure to a wide variety of test and automation systems, production machinery, industrial sensors, data acquisition, safety, and I/O devices (i.e., pogo-pins, pressure transducers, temperature controllers, current and power meters, PLCs, etc.)
• Experience with Linux and Windows operating systems
• Ability to read and understand software code (e.g., Test stand, LabVIEW, Python, Golang, C, C++)
• Experience with CAN bus communications and ability to interpret traces
• Basic proficiency in PLC programming and troubleshooting (e.g., Siemens)
• Effective at summarizing/presenting data in a manner that is easily digestible to various technical and non-technical audiences
• Degree in Electrical Engineering, Computer Science, Computer Engineering, or related field, or equivalent experience

• Design, develop, and implement control systems for facilities, including HVAC, Hydronics, Chemical, and other building systems
• Develop and maintain control system documentation, including schematics, diagrams, and technical specifications
• Troubleshoot and resolve control system issues, including hardware and software problems
• Collaborate with facilities staff, contractors, and other stakeholders to ensure control systems meet operational requirements
• Develop and implement energy efficiency projects and initiatives to reduce energy consumption and costs
• Stay up to date with industry trends, technologies, and best practices in control systems engineering

• Bachelor's Degree in Electrical Engineering or Chemical Engineering or equivalent experience
• Advanced proficiency in programming industrial process including PLCs (Siemens, Allen Bradley) and Human Machine Interface (Ignition, Siemens Comfort Panel)
• Ability to program state machines, data acquisition, and PID control
• Proven ability to design fault-tolerant systems with error handling and recovery
• Proficiency programming and tuning variable frequency drives
• Configuration of controls networks including field bus networks (ProfiNet, Modbus, Ethernet/IP, Safety rated field bus networks), and serial communication (RS-232, Ethernet communications between machine PLCs and database systems)
• Proficiency selecting appropriate circuit protectors, wire and cable, sensors, safety hardware, PLC hardware, remote I/O, VFD and instrumentation
• Advanced proficiency in modern text-based programming languages (Python, Java, C, VB) and database systems (MSSQL, MySQL, Access) is a plus
• Exposure to a wide variety of industrial sensors and equipment (level, temperature, and pressure transducers, current and power meters)

We are looking for a Sr. Industrial Engineer / Data Engineer (5+ yrs. of experience) that will be focusing on providing automations and data solutions to Industrial and Manufacturing Engineering teams. This position involves designing and creating Data Models, developing Analytics and Reporting solutions. They will be focusing on developing superior and strong internal resources to completely own the data inputs to our future simulation and analytical models.

• Analyze and maintain yield, availability, and cycle time data to identify trends, inefficiencies, and opportunities for optimization
• Develop Model inputs and build Software as necessary to make this available to larger Tesla Team
• Collaborate with various Tesla teams to Build automated data pipelines to collect, process, and analyze real-time yield, availability, and cycle time data from various sources (IoT sensors, MES, PLCs, SCADA systems)
• Use statistical process control (SPC), regression analysis, and time-series forecasting to enhance manufacturing efficiency
• Create interactive dashboards and visualizations in Power BI, Tableau, or Python-based tools for easy monitoring of performance trends
• Own and manage projects from design to production, maintain relationship with stakeholders and collaborate with both business and technical teams to satisfy business needs
• Identify slow-running processes and bottlenecks, troubleshoot problems, research and resolve issues
• Reverse engineer existing projects or products in use and always look for improvements in processes preferably with open-source technologies

• Degree in Data Science, Industrial Engineering, or equivalent experience
• 5+ years of experience in data analysis and modeling within manufacturing environments
• Strong proficiency in Python, SQL, R for data analysis, visualization, and modeling
• Experience with time-series analysis, statistical process control (SPC), and predictive analytics
• Good first principles understanding of Industrial Engineering, OEE concepts
• Excellent problem-solving skills with the ability to work in a fast-paced manufacturing environment
• Excellent communication & collaboration skills with ability to drive data related initiatives with various internal and external stakeholders
• Deep understanding and experience in Discrete Event Simulation modeling, coupled with expertise in predictive modeling using ML algorithms and digital twin technology for process simulation and improvement

• Collaborate with operations, construction, QA, and facilities engineering teams on commissioning activities and resolving electrical issues
• Provide technical guidance, lessons learned, and feedback on design and construction, focusing on modeling, utility routing, and commissioning checklist updates
• Oversee commissioning and start-up of all electrical systems, from medium to low voltage, ensuring readiness for facility ownership
• Work closely with third-party OEM equipment representatives during commissioning to align on standards and process requirements
• Participate in system handover walks, document and track open issues, and confirm resolution of all outstanding construction and commissioning tasks
• Review and accept turnover documentation, ensuring it meets design and operational requirements for seamless maintenance handover
• Interpret complex electrical schematics for planning conduit and cable scopes, troubleshooting VFDs, switchgear, and motors (120V–25kV), including work at height when necessary

• Minimum 5+ years of experience as an Industrial or Commercial Electrician; facility maintenance experience preferred
• Proficient in using trade tools, meters, and relevant technology to perform tasks effectively
• Skilled in sizing conductors and conduits, with strong knowledge of the NEC Code Book
• Experience with 24VDC to 25kV AC systems; expertise in troubleshooting motor controls, drives, and electronic components
• Ability to interpret electrical prints, schematics, and perform equipment installation and circuit modifications
• Strong interpersonal skills with the ability to engage all management levels, work independently, and collaborate effectively
• Comprehensive understanding of LOTO and NFPA 70E safety requirements

Essential Physcial Demands

• Ability to perform physically demanding work for extended periods of time, up to 12 hours a day
• Ability to stand and walk for up to 12 hours a day, including over varied and uneven terrain
• Frequently and repetitively, lift, push and carry up to 35 lbs., including the ability to carry 20 lbs. up and down stairs
• Frequently and repetitively, bend, lift and reach to install parts
• Stoop, lay, bend, reach, squat, kneel, crouch, twist and crawl for extended periods of time, including up to 12 hours a day
• Climb and maintain balance on ladders, scaffolding or other high structures
• Ability to find issues in a work process and receive safety signals using sight, touch, and hearing
• Wearing Personal Protective Equipment, including but not limited to: hard hat, safety glasses, safety shoes, reflective vest, and adhering to prescribed safety rules and guidelines

• Design, build, develop, integrate, and deploy machine vision, robot guidance, and vision-based process control systems into manufacturing lines
• Participate in initial equipment conceptual development and carefully balance product specifications with process requirements, complexity, lead-time, and cost
• Manage vendor vision systems and adapt them to Tesla standards
• Lead vision system updates, upgrades, and replacements on all equipment in the cell organization
• Train and equip sustaining engineering teams to support vision systems after deployment and in production environments

• Bachelor’s Degree in Electrical Engineering or equivalent experience
• At least 5+ years of relevant professional experience with vision systems and automation
• Proficiency developing vision algorithms with common vision platforms: Cognex VPro, Keyence, SICK, Fanuc, Halcon, Matrox, OpenCV
• Experience specifying the vision system hardware including cameras, lights, lenses, frame grabbers, displacement sensors, laser profilers
• Experience developing vision applications using common languages such as VB, C++, C#, Python
• Experience commissioning vision systems for 2D/3D quality inspection, robot guidance, and process control
• Familiarity with industrial protocols such as Profinet, EthernetIP, EtherCAT
• Familiarity creating design of experiments (DOEs) and test plans for manufacturing or controls processes
• Strong written and spoken English skills

• Design and implement automated material handling solutions to optimize material flow across Tesla’s manufacturing lines, covering raw material transport, move product in between shops, and final product delivery within Cell Manufacturing
• Lead the development of innovative material flow strategies and dynamic manufacturing systems that improve efficiency, scalability, and reliability
• Develop analytical models and simulations to establish design criteria and system performance benchmarks
• Investigate and apply advanced technologies in our material handling equipment including, automated storage and retrieval systems (ASRS), buffer systems, conveyance, mobile robotics (AGVs/AMRs), robotic material handling, and lift systems to enhance material handling capabilities
• Own end-to-end project execution, including concept development, detailed engineering design, equipment procurement, integration, installation, and commissioning
• Drive continuous improvement in existing material handling solutions by analyzing performance data and implementing system enhancements
• Collaborate cross-functionally with manufacturing engineering, factory layout, construction, process engineering, and production teams to align material flow solutions with Tesla’s broader operational goals
• Manage project timelines, budgets, and vendor relationships, ensuring seamless execution and on-time delivery
• Mentor and provide technical guidance to junior engineers and stakeholders within Tesla, ensuring a culture of innovation and operational excellence
• Position will offer unique and complex engineering challenges that require persistence, innovative thinking and a positive attitude

• Bachelor’s Degree or relevant experience in Engineering (Mechanical, Industrial, Electrical, or related field)
• 5+ years of practical automated material handling and process equipment design experience in industries such as automotive, consumer goods/food and beverage manufacturing, distribution, and semiconductor
• Expertise in material handling technologies, including ASRS, conveyors, AGVs/AMRs, robotic handling systems, and automated lifts
• Proficiency in CAD software such as AutoCAD, SolidWorks, CATIA, or similar tools for system modeling and layout design
• Strong engineering background with hands-on experience in system design, development, and implementation
• Passion for automation and advanced manufacturing with a deep understanding of how to integrate automation into material flow strategies
• Proven project leadership experience, from concept to execution, including stakeholder coordination, risk management, and performance optimization
• Ability to manage multiple complex projects simultaneously in a highly dynamic environment with evolving priorities
• Strong analytical, problem-solving, and organizational skills, with a data-driven approach to decision-making