Tesla

Makes electric cars, robotaxis and grid batteries

Controls Development Engineer - Automation & Data Systems, Fremont Central Manufacturing Engineering

Controls & Automation EngineeringConfirmed live in the last 24 hours

Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Computer Engineering, Electrical Engineering, or Mechanical Engineering, or equivalent relevant industry experience.
Two to five years of hands-on experience as a Controls Engineer or Applications Engineer working on automation or electromechanical systems in industrial, high-tech or research and development, biotech or pharmaceutical, food or beverage, or advanced manufacturing environments.
Proficiency configuring industrial control networks, including Ethernet/IP, PROFINET, BACnet, and serial communication; programming PLCs such as Siemens, Allen-Bradley, or Beckhoff; designing and implementing safety systems; and developing HMIs using at least one of Ignition or WinCC.
Strong understanding of electrical design fundamentals, including electrical schematic design using ePLAN for circuits and power distribution, software development, data systems architecture, and control theory, with specialized knowledge of condition monitoring techniques for motors and pumps.
Hands-on manufacturing experience solving complex problems in software, data, and electrical design, including demonstrated predictive maintenance results that improved equipment reliability and reduced downtime.
Proficiency in Python and SQL, applied to sensor-data analysis for equipment reliability analysis and predictive modeling.
Hands-on experience troubleshooting and fixing electromechanical devices such as motors and pumps; familiarity with common hand tools, diagnostic tools such as multimeters and vibration analyzers, and condition-based monitoring techniques.
Demonstrated equipment reliability analysis experience, such as failure mode and effects analysis or root cause analysis, leading to measurable predictive maintenance successes.
Ability to work flexible hours and schedules as required.

Responsibilities

Help design automation and data architectures grounded in electrical design and engineering fundamentals, software development principles, data systems architecture, and control theory, focusing on condition monitoring for motors, pumps, and other critical equipment.
Create scalable systems for production output, quality inspection, real-time process optimization, and predictive maintenance to enhance equipment uptime and reliability.
Design and develop manufacturing data systems from concept to production, analyze equipment key performance indicator trends, conduct reliability analysis, and implement predictive models to forecast failures in motors, pumps, and related systems.
Implement cloud-based solutions for data collection and storage, use Python and SQL to interface with manufacturing execution systems and production databases, and incorporate sensor data for real-time condition monitoring and fault prediction.
Design, program, and commission automation equipment to improve systems, including predictive maintenance tools that use historical data for proactive interventions.
Predict faults from machine data such as motor and pump vibration, temperature, and performance metrics; coordinate cross-functional alerts and corrective actions based on reliability analysis; and maintain continuous integration and continuous delivery pipelines for tracking and reporting predictive maintenance outcomes.
Optimize human-machine interface, supervisory control and data acquisition, and manufacturing execution system interfaces; conduct in-house technology exploration; implement safety standards with periodic inspections; and integrate predictive analytics for equipment health monitoring.
Contribute to operational technology cybersecurity projects to secure manufacturing networks and devices against threats and protect data streams from condition monitoring systems.

Desired Qualifications

Recent graduates or entry-level candidates with relevant internships or projects are encouraged to apply.

Category	Manufacturing
Location	Fremont, California
Requisition ID	259531
Type	Full-time

Job Description

<p>The Manufacturing Controls Development Engineer, Automation & Data Systems position is located at our Fremont Factory location. The primary responsibility of this role is to apply first principles thinking to design, develop, and maintain core controls systems that bridge manufacturing gaps. This involves innovating automation and data architectures grounded in electrical design fundamentals, software development principles, data systems architecture, control system theory, and cybersecurity to mitigate threats—tackling complex, real-world challenges in a fast-paced environment that demands creative problem-solving and continuous learning. It includes integrating PLC/SCADA with advanced manufacturing and energy systems for physics-driven optimization of production processes, plus creating scalable systems for functionality enhancements, quality inspection, real-time process optimization, and predictive maintenance through condition monitoring and equipment reliability analysis.</p>

Job Responsibilities

Help design automation and data architectures grounded in electrical design, engineering fundamentals, software development principles, data systems architecture, and control theory, with a focus on integrating condition monitoring for motors, pumps, and other critical equipment
Create scalable systems for production output, quality inspection, real-time process optimization, and predictive maintenance strategies to enhance equipment uptime and reliability
Design and develop manufacturing data systems from concept to production, analyzing equipment KPI trends, conducting reliability analysis, and implementing predictive models to forecast failures in motors, pumps, and related systems
Implement cloud-based solutions for data collection/storage, using Python/SQL to interface with MES and production databases, while incorporating sensor data for real-time condition monitoring and fault prediction
Design, program, and commission automation equipment to improve systems, including predictive maintenance tools that leverage historical data for proactive interventions
Predict faults from machine data (e.g., vibration, temperature, and performance metrics for motors and pumps), coordinate cross-functional alerts/corrective actions based on reliability analysis, and maintain CI/CD pipelines for tracking and reporting predictive maintenance outcomes
Optimize HMI/SCADA/MES interfaces; conduct in-house tech exploration, implement safety standards with periodic inspections, and integrate predictive analytics for equipment health monitoring
Contribute to OT cybersecurity projects to secure manufacturing networks and devices against threats, ensuring robust protection for data streams from condition monitoring systems

Job Requirements

Degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or equivalent relevant industry experience
2-5 years of hands-on experience as a Controls Engineer or Applications Engineer, working on automation/electromechanical systems in industrial, high-tech/R&D, biotech/pharma, food/beverage, or advanced manufacturing (e.g., battery production) environments; recent graduates or entry-level candidates with relevant internships or projects encouraged to apply
Proficiency in industrial systems including configuring control networks (Ethernet/IP, PROFINET, BACnet, Serial Communication), PLC programming (Siemens, Allen-Bradley, Beckhoff, etc.), designing and implementing safety systems, and developing HMIs (at least one of the following: Ignition, WinCC)
Deep understanding of first principles in electrical design (including electrical schematic design using ePLAN for circuits and power distribution), software development, data systems architecture, and control theory, with specialized knowledge in condition monitoring techniques for motors and pumps
Hands-on experience in manufacturing settings, solving complex problems via foundational breakdowns in software, data, and electrical design, including proven results in predictive maintenance programs that have improved equipment reliability and reduced downtime
Proficiency in Python and SQL, with experience applying these to analyze sensor data for equipment reliability analysis and predictive modeling
Hands-on experience troubleshooting and fixing electro-mechanical devices (e.g., motors and pumps), with familiarity in common hand tools, diagnostic tools (e.g., multimeters, vibration analyzers), and techniques for condition-based monitoring
Proven track record in equipment reliability analysis, such as failure mode and effects analysis (FMEA) or root cause analysis, leading to measurable predictive maintenance successes
Proven interpersonal skills and ability to objectively resolve conflict within a large group
Able to work flexible hours and schedules as required and a passion for tackling challenging engineering problems, with a drive to innovate and grow in a dynamic, high-impact setting

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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