Job Location: Austin, TX
Job Detail:
What To Expect
Under Tesla’s Manufacturing engineering organization, manufacturing engineers lead installation, commissioning, and ramping up some of the most advanced manufacturing equipment that produce Tesla’s cutting-edge vehicle powertrains and energy storage. The Power Electronics and Energy Products manufacturing engineering team is responsible for equipment installation, alignment and calibration of equipment, quality validation (PFMEA/Process Control Plan), root-cause analysis to improve OEE (Overall Equipment Effectiveness) as well as managing the integration of the manufacturing operating systems. Manufacturing engineers are also considered subject matter experts on particularly complex manufacturing processes to better optimize them.
The data scientist in the Power Electronics and Energy Products manufacturing engineering team collaborates with members of design, production, quality and manufacturing engineering teams to improve our most-difficult manufacturing processes and equipment through data science, experimentation, and modeling to drive tangible optimizations to the production environment. The data scientist also trains others to improve the sophistication and effectiveness of their scientific investigations within the organization.
What You’ll Do
- Collaborate with manufacturing and design subject matter experts to develop analytics methods to qualify and ramp assembly and test processes, and improve process capability and stability, cycle time, first pass yield, performance, availability, scrap, cost, and product quality and reliability.
- Build manufacturing data sources/schemas and create ETL (Extract Transform Load) pipelines.
- Own the development and deployment of critical manufacturing metrics, analyses, and dashboards.
- Build advanced analytics including using ML/AI methods to improve manufacturing process, equipment, and line performance, and product quality and reliability.
- Create the data and analytics roadmap for the power electronics and energy storage manufacturing engineering program
What You’ll Bring
- 3+ years of work experience applying data analytics in a high-volume manufacturing environment.
- Proficient with the following tools or equivalent: databases and acquisition (SQL), statistical analysis (JMP), visualization (Tableau), and general-purpose programing (Python, R)
- Experience building dashboards, analysis reports, and solving real manufacturing problems with data.
- Skillful in time series analysis, multivariate models, hypothesis testing, A/B testing, inferential statistics, and causal analysis.
- Experience in some of the machine learning areas: Anomaly detection and signal processing, time-series data analysis and modeling, Conventional Machine Learning methods, Computer Vision, Deep learning, CNNs
- Bachelor of Science in Computer Science, Statistics, Mechanical engineering, or other STEM areas.
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- LGBTQ+ care concierge services
- 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
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary 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
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