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Tesla
Echem Modeling Engineer, Cell Manufacturing
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$138,705 / year median in California
+8% projected growth
Job Description
Echem Modeling Engineer, Cell Manufacturing Tesla - 3.3 Fremont, CA Job Details Full-time $91,600 - $195,600 a year 20 hours ago Benefits Commuter assistance Health savings account AD&D insurance Paid holidays Disability insurance Health insurance Dental insurance Flexible spending account Flextime Adoption assistance Employee assistance program 401(k) matching Employee discount Benefits from day one Pet insurance Qualifications Production data analysis Simulation modeling (chemistry) Process modeling Full Job Description What to Expect As Tesla continues to vertically integrate our operations,Tesla's in-house cell group is looking for a highly motivatedProcess Controland ModelingEngineer to work on a critical challenge facing the world's energy transition.
As aprocess controland modelingengineer, you willwork closely with the process development, equipment and mechanical design teamtodrive the development, optimization, and control of advanced cell manufacturing processes, ensuring robust, efficient, and scalable production systems. You will be at the forefront of process innovation, combining control system expertise with process modeling to support the factory ramp and deliver world-class battery technology. This role involves close partnership with teams transitioning new processes from initial design and prototyping to full-scale production. What You'll Do Work closely with the process design and operations teams to develop dynamic simulations of process equipment and production facilities Develop simulations to testcontrol logic using adigitaltwin concept Work closely with process engineers and use simulation results to inform equipment design Simulate process upset scenarios to understand the limitations of the process Program and debug structured text and ladder logic code to configure control systems for automation equipment, utilizing multiple PLC platforms (e.g., Beckhoff TwinCAT, Siemens TIA Portal) to manage motion controls, data acquisition systems, and PID controllers for precise process regulation Develop and validate process models (e.g., physics-based, data-driven, or hybrid models) to simulate and improve cell manufacturing processes Design and simulate mechanical components or subsystems using CAD tools (e.g., SolidWorks, CATIA) to support process modeling and equipment performance optimization Develop code that is organized, structured, documented, maintainable andreusable Use Python scripting and SQL to interface equipment with Tesla Manufacturing Execution System (MES) and to collect data into productiondatabases Create intuitive operator touchscreen interfaces usingTwinCATHMI/WinCC and SCADA dashboards screens usingIgnition What You'll Bring 5+ yearsas a process controls and modeling engineer OR as a dynamic simulation engineer Bachelor's degree in Electrical, Mechanical or Mechatronics Engineering, Chemistry, Computer Science or the equivalent in experience and evidence of exceptional ability Evidence of exceptional ability, including a strong understanding of engineering fundamentals anddemonstratedability toleveragethis understanding to solve challenging technical problems Strong background in process modeling and simulation tools (e.g., MATLAB/Simulink, Aspen, COMSOL, or similar) applied to manufacturing or chemical processes Proficiency in programming industrial control systems using
As aprocess controland modelingengineer, you willwork closely with the process development, equipment and mechanical design teamtodrive the development, optimization, and control of advanced cell manufacturing processes, ensuring robust, efficient, and scalable production systems. You will be at the forefront of process innovation, combining control system expertise with process modeling to support the factory ramp and deliver world-class battery technology. This role involves close partnership with teams transitioning new processes from initial design and prototyping to full-scale production. What You'll Do Work closely with the process design and operations teams to develop dynamic simulations of process equipment and production facilities Develop simulations to testcontrol logic using adigitaltwin concept Work closely with process engineers and use simulation results to inform equipment design Simulate process upset scenarios to understand the limitations of the process Program and debug structured text and ladder logic code to configure control systems for automation equipment, utilizing multiple PLC platforms (e.g., Beckhoff TwinCAT, Siemens TIA Portal) to manage motion controls, data acquisition systems, and PID controllers for precise process regulation Develop and validate process models (e.g., physics-based, data-driven, or hybrid models) to simulate and improve cell manufacturing processes Design and simulate mechanical components or subsystems using CAD tools (e.g., SolidWorks, CATIA) to support process modeling and equipment performance optimization Develop code that is organized, structured, documented, maintainable andreusable Use Python scripting and SQL to interface equipment with Tesla Manufacturing Execution System (MES) and to collect data into productiondatabases Create intuitive operator touchscreen interfaces usingTwinCATHMI/WinCC and SCADA dashboards screens usingIgnition What You'll Bring 5+ yearsas a process controls and modeling engineer OR as a dynamic simulation engineer Bachelor's degree in Electrical, Mechanical or Mechatronics Engineering, Chemistry, Computer Science or the equivalent in experience and evidence of exceptional ability Evidence of exceptional ability, including a strong understanding of engineering fundamentals anddemonstratedability toleveragethis understanding to solve challenging technical problems Strong background in process modeling and simulation tools (e.g., MATLAB/Simulink, Aspen, COMSOL, or similar) applied to manufacturing or chemical processes Proficiency in programming industrial control systems using