Engineering Technician -Vision Automation - Gigafactory Berlin-Brandenburg

☞ Tesla

Aussicht: 174

Update Tag: 07-10-2024

Ort: Grünheide Brandenburg

Kategorie: Geschäftsführung Produktion / Betrieb

Industrie: Automotive Renewables & Environment Utilities

Position: Entry level

Jobtyp: Full-time

Loading ...

Jobinhalt

Tesla is accelerating the world’s transition to sustainable energy. Revolutionary strategies and products were developed within a few years and successfully launched on a large scale. This is only possible through extraordinary speed, innovation and efficiency.

Gigafactory Berlin forms the perfect basis for rolling out Tesla’s incredible success story in Europe. The most important pillar for this are our employees. Their passion, motivation and engagement ensure that we achieve our goals. We are looking for you to continue and expand this success story together.

The Role

Tesla’s core automation team seeks a candidate to support computer vision and edge computing devices. The devices (smart cameras, depth sensors, etc) are deployed in both warehousing and manufacturing environments for a variety of tasks, but this role focuses on vehicle quality inspections. The ideal candidate has demonstrated an interest in computer and industrial systems, especially cameras. They should also want to be on the front line of the most advanced manufacturing facilities in the world, including Tesla’s Berlin factory, Fremont factory, Gigafactories 1, 2 and 3, and possibly other smaller test facilities.

Daily roles and responsibilities include hands-on, lineside deployment and maintenance of edge computers and sensor systems, vision models, and investigations of new applications. The software team will provide a software & hardware vision system and ongoing support to the candidate. It is the candidate’s responsibility to integrate the provided cameras to the production line and get them to work in the factory. This includes, for example, vehicle failure mode identification, image collection and creation of machine learning models, software integration with the manufacturing line, and monitoring and maintaining deployed inspections.

While Tesla has a 24-hour support team for the manufacturing line, the candidate is the secondary responder and will be responsible for swiftly bring the systems back online if they fail. In other words, 24-hour on-call is not part of the role, but serious and rare failure events may lead to after-hours work.

Tesla provides training on all software required to perform the role – no prior experience with machine learning or software engineering needed, although a willingness to learn is crucial.

Responsibilities
  • Understand car quality issues with the help of quality engineering and processes engineering teams and determine if inspecting them automatically with computer vision is possible
  • Collaborate with relevant teams to determine optimal locations to install hardware
  • Install line-side equipment, including cameras and computer hardware
  • Wiring, networking and operating computer programs within an industrial/manufacturing environment
  • Bolting brackets, and basic hand tool usage
  • Understand software systems and debug daily issues both technically and physically
  • Use software to load images into a program, sort and label them, build a machine learning model, and then monitor how the program labels the same images
  • Support engineers as they iterate on these software systems by providing direct feedback on how the systems are functioning on the line
  • Set up and monitor alerts and determine with available data if something is failing, and how to quickly fix it
  • Support operations and software teams based in Fremont, California and other global locations with integrating new vision inspections, troubleshooting, and training on vision software
  • Create and follow up on vehicle containments for suspicious vision inspection misses by collaborating with various quality & process teams
Requirements
  • Must speak English, preferably also speaks German
  • Experience working in an industrial or technical organization
  • Preferred: any degree in a quantitative field or equivalent
  • Solid computer skills including specific experience with file systems and basic understanding of computer networks
  • Basic understanding of electrical safety
  • Solid written communication skills and willingness to document
  • Ability to multi-task, prioritize and work in an extremely fast-paced environment
Loading ...
Loading ...

Frist: 21-11-2024

Klicken Sie hier, um sich für einen kostenlosen Kandidaten zu bewerben

Anwenden

Job melden
Loading ...

ÄHNLICHE ARBEITEN

Loading ...
Loading ...