Staff Manufacturing Test Software Development Engineer, Optimus

What to Expect
Tesla is looking for a highly motivated Staff Engineer focusing on manufacturing test software 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.
What You’ll Do

• Develop and implement manufacturing test software 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 software implementation
• Design and develop comprehensive manufacturing test software that may include connectivity tests, functional tests and system level self-test
• Develop software for automated manufacturing testers that may include PLC controllers and communications between PLC and testers
• 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 automation tester design and validation

What You’ll Bring

• Degree in Electrical Engineering, Mechanical Engineering, Computer 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 Python and JavaScript
• Experience in PLC controls and PLC – Tester communication and error handling
• 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