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About the role
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Systems Engineer, Cell Manufacturing
| Job Category | Manufacturing | | Location | AUSTIN, Texas | | Req. ID | 272326 | | Job Type | Full-time |
What to Expect
We are seeking a Systems Engineer to lead the deployment and scale-up of high-precision sensor and actuator systems across our battery manufacturing tool fleet. You will own end-to-end deployment workflows from hands-on installation and validation to building diagnostics and predictive models, while partnering closely with process, equipment, and software teams to operationalize sensors at scale. This role sits within the GFTX Cell team, responsible for high volume in-house cell manufacturing lines.
What You’ll Do
- Drive continuous improvement of sensor deployment processes using first-principles analysis and structured experimentation (DOE, root cause analysis)
- Author and maintain test specifications, calibration procedures, and SOPs for sensor installation, qualification, and maintenance
- Own failure analysis for sensor systems and collect test data, identify root cause, and implement corrective actions
- Define measurement conditions and acceptance criteria, and partner with cross-functional teams to validate and ratify pass/fail limits
- Develop software-based diagnostic toolkits and ML/statistical predictive models to enable proactive maintenance by process and equipment teams
- Apply data-driven methods to accelerate tool-to-tool matching and fleet-level performance uniformity (add a brief definition of "matching" for external readers)
What You’ll Bring
- Degree in Mechanical Engineering, Mechatronics, Physics, or equivalent experience
- Demonstrated hands on experience and capability in troubleshooting complex systems
- 2+ years of experience in designing, testing and assembling hardware
- Experience of working with data from various types of sensors (e.g., force sensors, load cells, thermocouples, accelerometers, etc.) and actuators (e.g., hydraulic, pneumatic, electrical, etc.)
- Proficiency with MATLAB or Python and data analysis libraries such as pandas, numpy, scikit-learn or equivalent
- Familiarity with controls modelling
- Be able to travel to other sites 10-20% of time
- Excellent teamwork/interpersonal skills, willingness to gain and share new knowledge and, the ability to communicate effectively
- Remain engaged, proactive and positive in tough circumstances. Own assignments and take full accountability for their success
- Positive attitude, eager to learn and ability to change direction quickly
Compensation and Benefits
Benefits
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Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
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Medical plans > plan options with $0 payroll deduction
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Family-building, fertility, adoption and surrogacy benefits
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Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
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Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
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Healthcare and Dependent Care Flexible Spending Accounts (FSA)
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401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
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Company paid Basic Life, AD&D
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Short-term and long-term disability insurance (90 day waiting period)
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Employee Assistance Program
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Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
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Back-up childcare and parenting support resources
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Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
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Weight Loss and Tobacco Cessation Programs
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Tesla Babies program
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Commuter benefits
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Employee discounts and perks program
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Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.
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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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