https://amzn.to/44P6GXZ
Job Category | Manufacturing |
---|---|
Location | AUSTIN, Texas |
Req. ID | 195943 |
Job Type | Full-time |
Tesla participates in the E-Verify Program
The Cell Manufacturing team is looking for a data-driven front-end software engineer
to join our team. You will be responsible for developing front-end software for a variety
of platforms and applications which includes Equipment HMI, SCADA and DCS, Preventive
Maintenance Systems, PLC Version Control Systems, Mass Deployment Tools,
Machine Learning Tools and Virtual Commissioning. You will be working on cutting
edge technology for the Manufacturing Industry. You will be releasing modules
and libraries that will be used in Tesla Manufacturing production environment.
What You’ll Do
As a front-end software
automation engineer, your primary responsibility will include all aspects of software development,
from design and analysis to development, implementation and maintenance. You will work closely with the Equipment
Controls Automation, Production Support and Data Analytics Teams to implement
new product features, improve existing product features, while adding
performance and software quality metrics to the codebase. You will work with project managers and
technical teams, in a multi-functional environment, to implement quality
products that meet the business goals.
What You’ll Bring
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
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.
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