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Tesla Staff Manufacturing Test Engineer Optimus United States, California, Palo Alto 511066053
16.04.2025
What to Expect What You’ll Do What You’ll Bring
Tesla is looking for a highly motivated Staff Engineer focusing on manufacturing test development. In this role, you will be responsible for developing end-to-end testing solutions and software implementations for Optimus manufacturing testing. Your role in this demanding and fast-paced environment will contribute to the development of a groundbreaking product, aligning with our mission of achieving machine-to-build-machine capability. If you have proven experience in launching new products at high volume, and a track record of leading successful projects, join Tesla to play a pivotal role in shaping the future of AI robotics.
- Develop and implement manufacturing test coverage for Optimus general assembly line
- Collaborate with firmware and hardware teams to develop test coverage, define metrics, align on firmware features and APIs for manufacturing testing implementation
- Design and develop comprehensive manufacturing test software that may include connectivity tests, functional tests and system level self-test
- Debug and root-causing issues related to manufacturing testing
- Develop and maintain scalable and reliable manufacturing testing software for high volume production, minimizing downtime, maintenance and deployment cost through tools such as cloud development
- Log, store and analyze test data to enable FA and design improvements
- Early engagement with cross functional development teams to drive DFT requirement
- Work with internal and external tester development partners on tester design and validation
- Degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, similar degree, or equivalent experience
- Experience in high volume manufacturing testing of actuators, sensors, electronics or related electromechanical hardware
- Experience in hardware test framework such as OpenHTF, pytest, Robot Framework or similar
- Fluency in Golang, Python and JavaScript
- Familiar with Unified Diagnostic Services (UDS)
- Experience in working with Linux OS and Docker
- Familiarity with protocols such as CAN and EtherCAT
- Experience with databases for test data storage, such as SQL (e.g. MySQL,Microsoft SQL), NoSQL (e.g. Mongo DB, Elastic search) databases, and column-storedatabase (e.g. Click House) and good knowledge of query optimization
- Familiarity with data pipeline/data visualization tools such as Telegraf, Kafka, and Grafana
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