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What to Expect
Tesla is seeking a highly motivated and accomplished Senior Manufacturing Engineer to lead the design and implementation of automated material handling systems for new and existing factories and programs. This role is part of Tesla’s Cell Manufacturing organization and is based at Gigafactory Texas (GFTX) in Austin. The position offers the opportunity to work in a fast-paced, dynamic environment as part of a highly skilled and agile team tackling some of the most ambitious projects in the manufacturing industry.
The Material Flow Engineering (MFE) team is responsible for developing innovative solutions that ensure the efficient and reliable flow of materials to Battery Cell Manufacturing lines. As a Senior Manufacturing Engineer, you will drive the development of automated material handling systems from concept through implementation, including installation, commissioning, start of operation, and turnover to production teams. You will play a key role in ensuring system designs align with Tesla’s specifications and operational goals, while providing technical leadership and collaborating closely with engineers and cross-functional stakeholders.
What You'll Do
- Design and implement automated material handling solutions to optimize material flow across Tesla’s manufacturing lines, covering raw material transport, move product in between shops, and final product delivery within Cell Manufacturing
- Lead the development of innovative material flow strategies and dynamic manufacturing systems that improve efficiency, scalability, and reliability
- Develop analytical models and simulations to establish design criteria and system performance benchmarks
- Investigate and apply advanced technologies in our material handling equipment including, automated storage and retrieval systems (ASRS), buffer systems, conveyance, mobile robotics (AGVs/AMRs), robotic material handling, and lift systems to enhance material handling capabilities
- Own end-to-end project execution, including concept development, detailed engineering design, equipment procurement, integration, installation, and commissioning
- Drive continuous improvement in existing material handling solutions by analyzing performance data and implementing system enhancements
- Collaborate cross-functionally with manufacturing engineering, factory layout, construction, process engineering, and production teams to align material flow solutions with Tesla’s broader operational goals
- Manage project timelines, budgets, and vendor relationships, ensuring seamless execution and on-time delivery
- Mentor and provide technical guidance to junior engineers and stakeholders within Tesla, ensuring a culture of innovation and operational excellence
- Defining and implementing actionable plans that drive progress toward the program’s long-term vision and objectives
What You'll Bring
- Bachelor’s Degree in Engineering (Mechanical, Industrial, Electrical, or related field) or equivalent experience
- 5+ years of practical automated material handling and process equipment design experience in industries such as automotive, consumer goods/food and beverage manufacturing, distribution, and semiconductor
- Expertise in material handling technologies, including ASRS, conveyors, AGVs/AMRs, robotic handling systems, and automated lifts
- Proficiency in CAD software such as AutoCAD, SolidWorks, CATIA, or similar tools for system modeling and layout design
- Strong engineering background with hands-on experience in system design, development, and implementation
- Passion for automation and advanced manufacturing with a deep understanding of how to integrate automation into material flow strategies
- Proven project leadership experience, from concept to execution, including stakeholder coordination, risk management, and performance optimization
- Ability to manage multiple complex projects simultaneously in a highly dynamic environment with evolving priorities
- Strong analytical, problem-solving, and organizational skills, with a data-driven approach to decision-making
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
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About Tesla

Tesla
PublicA financial leasing taxi company that provides vehicles to customers
140,000+
Employees
Ciudad De Panamá
Headquarters
$800B
Valuation
Reviews
3.1
5 reviews
Work Life Balance
1.5
Compensation
1.2
Culture
1.3
Career
1.8
Management
1.1
15%
Recommend to a Friend
Pros
Strong financial performance
Revenue growth
Company achieving targets
Cons
Poor compensation and raises below inflation
Union-busting and anti-labor practices
Unpaid work demands and wage theft
Salary Ranges
3,570 data points
Junior/L3
Mid/L4
Junior/L3 · Associate Analyst
2 reports
$94,875
total / year
Base
$82,500
Stock
-
Bonus
-
$92,000
$97,750
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Take-home Assignment
5
Panel Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Machine Learning Concepts
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