Sr. Manufacturing Systems Engineer
Full-time
Tesla
What To Expect
Tesla is seeking a driven Systems Engineer to own the design, deployment, and continuous improvement of intelligent automation systems across our world-class manufacturing facilities. You will sit at the intersection of software, hardware, and data — architecting full-stack supervisory applications, AGV/AMR platforms, vision-based inspection pipelines, and the containerized server infrastructure that ties it all together. This is a high-impact role in a fast-paced environment where your work directly influences factory uptime, throughput, and quality. What You'll Do Architect and develop full-stack HMI / SCADA applications (Ignition preferred) for supervisory control, operator dashboards, fault management, and real-time data visualization across production lines Lead AGV / AMR system integration, commissioning, and lifecycle support — including fleet management software, traffic control logic, and interface with warehouse execution systems (WES/WMS) Design and deploy vision-based inspection and perception pipelines using deep-learning frameworks for defect detection, object classification, and spatial localization in manufacturing environments Build and maintain containerized microservices (Docker, Docker Compose, Kubernetes) to host SCADA servers, REST/gRPC APIs, model inference endpoints, and data pipelines Develop organized, well-documented full-stack web applications (React / JavaScript front end; Go, Java, or Python back end) integrated with Tesla SSO and third-party factory systems Create and maintain SQL databases and reporting infrastructure; write scripting and automation for data ingestion, KPI tracking, and operational analytics Define and enforce software engineering best practices: version control (Git), code reviews, CI/CD pipelines, monitoring, logging, and documentation standards Lead system design reviews and serve as the technical liaison between production, maintenance, IT, and external vendors/suppliers Establish test plans, risk assessments, and validation protocols prior to deployment; drive continuous process improvement by analyzing system metrics and implementing corrective actions to maximize cycle time and uptime Develop training programs and technical documentation for operators and maintenance staff; serve as on-call point of contact for critical system issues, including occasional weekend support What You'll Bring Degree in Mechatronics, Systems Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, or equivalent experience 3+ years of professional experience in automation, systems, or controls/equipment engineering on electromechanical systems Proven experience building and deploying Ignition Perspective module SCADA / HMI applications, including API and database integration, historical data, alarming, and user-role management Hands-on experience with AGV / AMR commissioning and fleet management, exposure to MQTT, OPC-UA, or other industrial communication protocols Demonstrated ability to train and deploy computer vision models for industrial inspection, object detection, or spatial reasoning tasks Familiarity with ASRS (Automated Storage & Retrieval Systems) and conveyor control architectures Experience with Linux server administration , shell scripting, system services, log management, and performance tuning Rigorous software development practices: Git, pull-request workflows, CI/CD (GitHub Actions, Jenkins, or equivalent), monitoring, and observability Strong written and verbal communication skills; ability to present complex technical programs clearly to diverse audiences including leadership, operations, and vendors Experience with vision system hardware (Keyence, Cognex, Sick, or similar) and integration of camera feeds into software pipelines — a strong plus Benefits
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period) Employee Assistance Program Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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 , Tesla
Tesla is seeking a driven Systems Engineer to own the design, deployment, and continuous improvement of intelligent automation systems across our world-class manufacturing facilities. You will sit at the intersection of software, hardware, and data — architecting full-stack supervisory applications, AGV/AMR platforms, vision-based inspection pipelines, and the containerized server infrastructure that ties it all together. This is a high-impact role in a fast-paced environment where your work directly influences factory uptime, throughput, and quality. What You'll Do Architect and develop full-stack HMI / SCADA applications (Ignition preferred) for supervisory control, operator dashboards, fault management, and real-time data visualization across production lines Lead AGV / AMR system integration, commissioning, and lifecycle support — including fleet management software, traffic control logic, and interface with warehouse execution systems (WES/WMS) Design and deploy vision-based inspection and perception pipelines using deep-learning frameworks for defect detection, object classification, and spatial localization in manufacturing environments Build and maintain containerized microservices (Docker, Docker Compose, Kubernetes) to host SCADA servers, REST/gRPC APIs, model inference endpoints, and data pipelines Develop organized, well-documented full-stack web applications (React / JavaScript front end; Go, Java, or Python back end) integrated with Tesla SSO and third-party factory systems Create and maintain SQL databases and reporting infrastructure; write scripting and automation for data ingestion, KPI tracking, and operational analytics Define and enforce software engineering best practices: version control (Git), code reviews, CI/CD pipelines, monitoring, logging, and documentation standards Lead system design reviews and serve as the technical liaison between production, maintenance, IT, and external vendors/suppliers Establish test plans, risk assessments, and validation protocols prior to deployment; drive continuous process improvement by analyzing system metrics and implementing corrective actions to maximize cycle time and uptime Develop training programs and technical documentation for operators and maintenance staff; serve as on-call point of contact for critical system issues, including occasional weekend support What You'll Bring Degree in Mechatronics, Systems Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, or equivalent experience 3+ years of professional experience in automation, systems, or controls/equipment engineering on electromechanical systems Proven experience building and deploying Ignition Perspective module SCADA / HMI applications, including API and database integration, historical data, alarming, and user-role management Hands-on experience with AGV / AMR commissioning and fleet management, exposure to MQTT, OPC-UA, or other industrial communication protocols Demonstrated ability to train and deploy computer vision models for industrial inspection, object detection, or spatial reasoning tasks Familiarity with ASRS (Automated Storage & Retrieval Systems) and conveyor control architectures Experience with Linux server administration , shell scripting, system services, log management, and performance tuning Rigorous software development practices: Git, pull-request workflows, CI/CD (GitHub Actions, Jenkins, or equivalent), monitoring, and observability Strong written and verbal communication skills; ability to present complex technical programs clearly to diverse audiences including leadership, operations, and vendors Experience with vision system hardware (Keyence, Cognex, Sick, or similar) and integration of camera feeds into software pipelines — a strong plus Benefits
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period) Employee Assistance Program Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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 , Tesla
Vacancy posted 21 hours ago
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