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

Compensation and Benefits

Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

Medical plans > plan options with $0 payroll deduction

Family-building, fertility, adoption and surrogacy benefits

Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

Healthcare and Dependent Care Flexible Spending Accounts (FSA)

401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

Company paid Basic Life, AD&D

Short-term and long-term disability insurance (90 day waiting period)

Employee Assistance Program

Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

Back-up childcare and parenting support resources

Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

Weight Loss and Tobacco Cessation Programs

Tesla Babies program

Commuter benefits

Employee discounts and perks program

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.