Process Modeling & Control Engineer, Cell Engineering

  • Fremont, CA
  • Posted 13 days ago | Updated 3 hours ago

Overview

On Site
USD 80,000.00 - 174,000.00 per year
Full Time

Skills

Energy
Process Engineering
Optimization
Innovation
Partnership
Collaboration
Prototyping
Programmable Logic Controller
Web Portals
Data Acquisition
Physics
SolidWorks
CATIA
Performance Tuning
Organized
Scripting
SQL
Manufacturing Execution System
MES
Interfaces
SCADA
Dashboard
Test Plans
Debugging
Management
Computer Hardware
IT Infrastructure
Process Control
Electrical Engineering
Mechanical Engineering
Mechatronics
Chemistry
Process Modeling
Simulink
Aspen
COMSOL
FEM
Ansys
Ladder Logic
Siemens
Analytical Skill
Network
Fluency
MATLAB
Modeling
Manufacturing
Database
Java
Python
HMI
PPO
Payroll
Health Care
FSA
Finance
Apache Flex
Legal
Insurance

Job Details

As Tesla continues to vertically integrate our operations, Tesla's in-house cell group is looking for a highly motivated Process Modelling and Control Engineer to work on a critical challenge facing the world's energy transition. As a process control and modeling engineer, you will work closely with the process development, equipment and mechanical design team to drive 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 to transition new processes from initial design and prototyping to full-scale production.

Responsibilities
  • Work closely with the process design and operations teams to develop dynamic simulations of process equipment and production facilities
  • Develop simulations to test control logic using a digital twin 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 and reusable, Use Python scripting and SQL to interface equipment with Tesla Manufacturing Execution System (MES) and to collect data into production databases
  • Create intuitive operator touchscreen interfaces using TwinCAT HMI/WinCC and SCADA dashboards screens using Ignition , Set up and tune servo drives and VFDs for fast and smooth operation (Beckhoff, Siemens, SEW)
  • Introduce automated processes into production, and train and equip Sustaining Team to support automated equipment after deployment into production, Establish test plans and control test plan execution, Debug and optimize automated processes to maximize cycle time and uptime. Managing the network and hardware IT infrastructure

Requirements
  • 5+ years as a process controls and modeling engineer or as a dynamic simulation engineer
  • Bachelor's Degree in Electrical, Mechanical or Mechatronics Engineering, Chemistry, or equivalent experience
  • Evidence of exceptional ability, including a strong understanding of engineering fundamentals and demonstrated ability to leverage this understanding to solve challenging technical problems
  • Strong background in process modeling and simulation tools (e.g., MATLAB/Simulink, Aspen, COMSOL, FEM, Ansys or similar) applied to manufacturing or chemical processes
  • Proficiency in programming industrial control systems using IEC 61131-3 languages (e.g., structured text, ladder logic) and experience with platforms like Beckhoff, Siemens, or Omron
  • Analytical mindset with a proven ability to use data to optimize processes and solve complex engineering challenges
  • Proficiency in field network topology, both theory and practical applications
  • Fluent in multiple coding language (minimum: MatLab, Python)
  • Previous experience with modeling different unit operations involved with cell manufacturing
  • Preferred: Understanding of databases and various program languages (Java, Python). HMI programming experience - TwinCAT HMI, WinCC and Ignition, Robotic programming skills, Vision systems

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)
  • 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 - $174,000/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.
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