Job Description

　　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

　　Lead and control the hardware and firmware integration across multiple teams (EE, Manufacturing, Process), including component level and full system validation

　　Guarantee functional, performance, safety, and reliability requirements are successfully achieved. Bring-up and debug new revisions of hardware and firmware to ensure proper product behavior and system interactions during design and deployment of equipment and features

　　Create and execute system test plans for new firmware and software features, ensure the validation infrastructure is properly designed to stress test the components and full system for achieving highest quality product. Provide direct and accurate feedback to design owners for continuous improvement

　　Investigate and respond to escalations involving Cell Formation and/or Cell Qualification equipment. Debug, document, and report issues in detail to relevant design engineering teams. Lead failure analysis to understand root cause and drive resolution for hardware and firmware failures originating in component, system validation, and production

　　Develop an in-depth understanding of all manufacturing systems and their integration. Understand how each system plays into the overall cell manufacturing performance and Production Operations staff experience. Help various cross-functional teams understand how their systems and related decisions impact different cell manufacturing systems

　　Design and implement software applications for automated system validation (regression test)

　　Key leader of DFMEA as part of the product design, integration, and test process

　　Hands-on with hardware bring-up and prototyping

　　Skills and Requirements

　　Bachelor's Degree in Electrical Engineering or equivalent

　　Strong understanding of electrical engineering fundamentals with some mechanical engineering background

　　Exceptional analytical problem-solving skills, able to identify and surface issues within complex HW/SW systems involving network microprocessors and software-controlled electrical or electromechanical devices

　　Hands-on experience with electrical and software engineering components and an understanding of how they interact in a complex product

　　Proficiency with EE tools (scopes, logic analyzers, power supplies, electronic loads, CAN tools (e.g. CANape). Understanding of a variety of communication systems (CAN, Ethernet, SPI, I2C)

　　Understanding of hardware and software development process

　　Experience authoring operator user guides and troubleshooting documentation

　　Excellent communication skills, can clearly communicate technical findings to various audiences, be available to other team members when questions arise. Excellent attention to detail

　　Remain engaged, proactive, and positive in tough circumstances/challenging problems

　　Willingness to travel to company and/or supplier locations as needed

　　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 communication skills

　　Bachelor's degree in electrical engineering or equivalent

　　At least 5+ years of relevant professional experience with vision systems and automation null

　　We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].