Associate Data Engineer, Centralized Manufacturing Engineering

at  Tesla

Tesla participates in the E-Verify Program
What to Expect
The Associate Data Engineer, MDS position is located at our Fremont Factory Location. The primary responsibility of this role is to maintain high-quality and efficient manufacturing data systems that will help identify issues and enhance the equipment that builds our cars as part of the Fremont Central Manufacturing Engineering (FCME) team. Business needs may include developing analytics workflows and processes that impact the design of data architecture and software solutions deployed for Robotics, conveyor systems, equipment, and process/equipment monitoring systems. In addition, we will collaborate with the maintenance team to fix and improve equipment failures. The successful candidate will have experience in working with Industrial equipment controls, Machine learning, CICD pipelines, SQL and Python

What You’ll Do

• Design, develop manufacturing data systems from concept to production
• Analyze trends in manufacturing equipment key performance indicators
• Implement cloud-based solutions for Manufacturing Equipment data collection and storage
• Use Python scripting and SQL to interface equipment with Tesla Manufacturing Execution System (MES) and to collect data into production databases Responsibility for designing, selecting, managing, programming, and commissioning of automation and equipment used to improve the existing system
• Predict production faults using machine-generated data. Coordinate with cross-functional technical groups to set up alerts and corrective actions
• Implement and maintain CICD pipelines for data tracking systems, part recognition and problem reporting
• Optimization and improvement of human machine interfaces, and SCADA systems and MES interfaces
• In-house development and exploring new technologies and innovations to enhance current Manufacturing equipment and data systems
• Creation and improvements of equipment safety standards and the implementation of those standards into the manufacturing equipment, including periodic checks and qualification inspections

What You’ll Bring

• BSc, or B.Eng, or equivalent certification in Computer Science, Computer Engineering, Electrical Engineering, or equivalent relevant industry experience
• Familiar with Industrial PC/PLC controller and development environment like Rockwell or Siemens
• Understanding of databases and various program languages (Java, Python, Oracle, SQL)
• HMI programming experience – Ignition
• OPC, MQTT, TCP/IP protocols
• Exposure to AI and ML
• Exposure to Developing CI/CD Pipeline
• Experience with industry standard development and/or automation tools (Bitbucket, JIRA, Jenkins, Git, Docker, Kubernetes, Splunk etc).
• Develop/build new software tools to save time and cost for the infotainment development and QA organization.
• Work closely with equipment engineers, maintenance technicians, and controls engineers to ensure, Scada and IIOT features are well tested through automation.

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:

• 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

Expected Compensation
$80,000 - $258,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
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.

• Design, develop manufacturing data systems from concept to production
• Analyze trends in manufacturing equipment key performance indicators
• Implement cloud-based solutions for Manufacturing Equipment data collection and storage
• Use Python scripting and SQL to interface equipment with Tesla Manufacturing Execution System (MES) and to collect data into production databases Responsibility for designing, selecting, managing, programming, and commissioning of automation and equipment used to improve the existing system
• Predict production faults using machine-generated data. Coordinate with cross-functional technical groups to set up alerts and corrective actions
• Implement and maintain CICD pipelines for data tracking systems, part recognition and problem reporting
• Optimization and improvement of human machine interfaces, and SCADA systems and MES interfaces
• In-house development and exploring new technologies and innovations to enhance current Manufacturing equipment and data systems
• Creation and improvements of equipment safety standards and the implementation of those standards into the manufacturing equipment, including periodic checks and qualification inspection