Forward Deployed Engineer, Energy
Full-time
Tesla
What To Expect
Tesla is seeking an experienced Forward Deployed Engineer with a proven track record in on-site deployment and optimization of manufacturing operating systems. This role is critical in executing rapid deployments, troubleshooting real-time issues, and ensuring seamless integration of technology and manufacturing systems to support Tesla's global energy operations, including Megafactories, Cell production lines, and Powerwall manufacturing sites. This is a traveling position, up to 50% of the time. What You'll Do Embed at energy manufacturing sites to diagnose flow, quality, and reliability problems using industrial engineering methodology, then build and deploy software to solve themUtilize existing dashboards to triage and understand line health, OEE, and production KPIs, and align with site stakeholders on prioritiesDeploy and engage users to adopt systems for production forecasting, manufacturing analytics, and line health monitoring on-site, providing immediate insights to inform local team strategies and resource allocationStudy existing workflows on the floor, design new standard work or improvements, and scale the workflow to increase operator and supervisor adoption. This includes documenting and translating proposed improvements for future production lines and course-correcting process deviationsDesign and deploy AI/ML applications directly in production environments, including computer vision for quality inspection, RAG-powered SOP and troubleshooting tools, predictive maintenance models, multi-agent workflows, and discrete event simulations to optimize scheduling, productivity, material flow, and risk management during active manufacturing operationsCollaborate with partner organizations such as Production, Quality, Maintenance, Supply Chain, and Controls to ensure organizational flow across sites and linesTake existing processes and implement long-term solutions that are scalable for next-generation energy manufacturing, prioritizing safety, quality, and throughput in high-pressure, forward-operating environmentsAct as the on-the-ground technical expert, traveling to end users across multiple sites, translating deployment challenges into actionable solutions and driving progress through effective communication to remote leadership for quick alignment and decision-making. Expect up to 50% travel to support manufacturing sites on the ground What You'll Bring Bachelor's Degree in Engineering, or equivalent experienceProven experience in forward-deployed roles across full production lifecycles—from on-site line setup and integration to troubleshooting and commissioning—in manufacturing, renewable energy, or industrial production settingsDemonstrates experience or curiosity with software or automation techniques. Includes software tools and platforms like SQL for database querying; Python, C-Sharp, and R for statistical analysis; visualization tools like Tableau and Power BI; and hands-on experience with real-time data pipelines (e.g., Apache Kafka or AWS Kinesis)Strong software engineering skills, including version control with Git, containerization and orchestration using Docker and Kubernetes, CI/CD pipelines (e.g., Jenkins or GitHub Actions), and familiar with deployment pipelinesExperience with automation scripting (e.g., Bash, Ansible) and integrating software with hardware systems, such as MAC devices, PLCs, or embedded systems on the manufacturing floor, to enable real-time monitoring and deployment in production environmentsDemonstrated ability to deploy and scale analytics solutions on-site, including setting up KPIs, automating local reporting, and integrating insights into daily production workflows under tight deadlinesExperience in cross-functional, forward-deployed teams involving manufacturing engineering, production, quality, supply chain, and operations—navigating ambiguity and adapting to fast-paced, high-volume production challengesFluency in Lean manufacturing methodology: standard work, takt time, OEE, value stream mapping, kaizen, and A3 problem solving. You should be able to walk a line and tell us what's wrong with it before lunchA coding portfolio of deployed, production projects in Python, TypeScript, or comparable languages — GitHub, demos, or shipped internal tools. Coursework, certifications, and tutorials do not countDemonstrated track record influencing cross-functional plant floor stakeholders without direct authority — production supervisors, operators, quality, maintenance, controls — across multiple sites or projects 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 an experienced Forward Deployed Engineer with a proven track record in on-site deployment and optimization of manufacturing operating systems. This role is critical in executing rapid deployments, troubleshooting real-time issues, and ensuring seamless integration of technology and manufacturing systems to support Tesla's global energy operations, including Megafactories, Cell production lines, and Powerwall manufacturing sites. This is a traveling position, up to 50% of the time. What You'll Do Embed at energy manufacturing sites to diagnose flow, quality, and reliability problems using industrial engineering methodology, then build and deploy software to solve themUtilize existing dashboards to triage and understand line health, OEE, and production KPIs, and align with site stakeholders on prioritiesDeploy and engage users to adopt systems for production forecasting, manufacturing analytics, and line health monitoring on-site, providing immediate insights to inform local team strategies and resource allocationStudy existing workflows on the floor, design new standard work or improvements, and scale the workflow to increase operator and supervisor adoption. This includes documenting and translating proposed improvements for future production lines and course-correcting process deviationsDesign and deploy AI/ML applications directly in production environments, including computer vision for quality inspection, RAG-powered SOP and troubleshooting tools, predictive maintenance models, multi-agent workflows, and discrete event simulations to optimize scheduling, productivity, material flow, and risk management during active manufacturing operationsCollaborate with partner organizations such as Production, Quality, Maintenance, Supply Chain, and Controls to ensure organizational flow across sites and linesTake existing processes and implement long-term solutions that are scalable for next-generation energy manufacturing, prioritizing safety, quality, and throughput in high-pressure, forward-operating environmentsAct as the on-the-ground technical expert, traveling to end users across multiple sites, translating deployment challenges into actionable solutions and driving progress through effective communication to remote leadership for quick alignment and decision-making. Expect up to 50% travel to support manufacturing sites on the ground What You'll Bring Bachelor's Degree in Engineering, or equivalent experienceProven experience in forward-deployed roles across full production lifecycles—from on-site line setup and integration to troubleshooting and commissioning—in manufacturing, renewable energy, or industrial production settingsDemonstrates experience or curiosity with software or automation techniques. Includes software tools and platforms like SQL for database querying; Python, C-Sharp, and R for statistical analysis; visualization tools like Tableau and Power BI; and hands-on experience with real-time data pipelines (e.g., Apache Kafka or AWS Kinesis)Strong software engineering skills, including version control with Git, containerization and orchestration using Docker and Kubernetes, CI/CD pipelines (e.g., Jenkins or GitHub Actions), and familiar with deployment pipelinesExperience with automation scripting (e.g., Bash, Ansible) and integrating software with hardware systems, such as MAC devices, PLCs, or embedded systems on the manufacturing floor, to enable real-time monitoring and deployment in production environmentsDemonstrated ability to deploy and scale analytics solutions on-site, including setting up KPIs, automating local reporting, and integrating insights into daily production workflows under tight deadlinesExperience in cross-functional, forward-deployed teams involving manufacturing engineering, production, quality, supply chain, and operations—navigating ambiguity and adapting to fast-paced, high-volume production challengesFluency in Lean manufacturing methodology: standard work, takt time, OEE, value stream mapping, kaizen, and A3 problem solving. You should be able to walk a line and tell us what's wrong with it before lunchA coding portfolio of deployed, production projects in Python, TypeScript, or comparable languages — GitHub, demos, or shipped internal tools. Coursework, certifications, and tutorials do not countDemonstrated track record influencing cross-functional plant floor stakeholders without direct authority — production supervisors, operators, quality, maintenance, controls — across multiple sites or projects 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 9 days ago
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