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Tesla Factory Jobs (NOW HIRING)

AutoNation

Entry Level Technician

Hilton, NY · On-site

As America's most admired automotive retailer, we offer factory training, cutting-edge tools, and a ... Suzuki, Tesla, Volkswagen, Volkswagen, VW, Volvo, Daimler, Stellantis, Renault, Tata, Zhejiang ...

Total Recon

B-Level Tech

Rockville, MD · On-site

$18 - $25/hr

Carefully disassembling vehicles, prepping them for precision repair, and reassembling them to Tesla's strict factory specifications. This isn't grunt work. This is skilled, technical, and meaningful.

Total Recon Auto Center

B-Level Tech

Rockville, MD · On-site

$18 - $25/hr

Carefully disassembling vehicles, prepping them for precision repair, and reassembling them to Tesla's strict factory specifications. This isn't grunt work. This is skilled, technical, and meaningful.

AutoNation

$45/hr

As America's most admired automotive retailer, we offer factory training, cutting-edge tools, and a ... Suzuki, Tesla, Volkswagen, Volkswagon, VW, Volvo, Daimler, Stellantis, Renault, Tata, Zhejiang ...

AutoNation

$38/hr

As America's most admired automotive retailer, we offer factory training, cutting-edge tools, and a ... Suzuki, Tesla, Volkswagen, Volkswagon, VW, Volvo, Daimler, Stellantis, Renault, Tata, Zhejiang ...

Panasonic

Project Engineer

Sparks, NV · On-site

Based on the battery demand from Tesla, the Gigafactory plans to produce cells which will double ... Ability to walk or maneuver approximately 3 miles per day in the factory (no construction ...

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All JobsTesla Factory Jobs

Tesla Factory information

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How much do tesla factory jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for tesla factory in the United States is $16.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.03 per hour, depending on experience, location, and employer.

What is the difference between Tesla Factory vs Tesla Assembly Line Worker?

AspectTesla FactoryTesla Assembly Line Worker
RoleOversees manufacturing processes, manages teams, and ensures quality controlPerforms specific tasks on the assembly line, such as installing parts or operating machinery
CredentialsTypically requires technical skills, certifications in manufacturing or engineeringHigh school diploma or equivalent; on-the-job training provided
Work EnvironmentFactory floor, supervisory and coordination rolesAssembly line, repetitive task environment
Industry UsageUsed in managerial, engineering, and supervisory positions within TeslaCommonly used for entry-level manufacturing roles at Tesla

The Tesla Factory refers to the entire manufacturing plant, including management and engineering roles, while Tesla Assembly Line Worker describes the specific entry-level position focused on assembling vehicle components. Both roles are integral to Tesla's production process but differ in responsibilities, required credentials, and work scope.

What are some common challenges faced by employees working on the production line at a Tesla Factory?

Working on the production line at a Tesla Factory can be fast-paced and physically demanding, with tight deadlines to meet production targets. Employees often work in shifts, including nights and weekends, which requires adaptability and strong time management skills. Collaboration with teammates and supervisors is essential to maintain safety and efficiency, and workers must be proactive in identifying and communicating any issues with machinery or processes. Staying up-to-date with evolving technologies and continuous process improvements is also important for long-term success in this role.

What is a Tesla factory and what do employees do there?

A Tesla factory is a manufacturing facility where Tesla designs, assembles, and produces its electric vehicles, battery packs, and energy products. Employees at a Tesla factory work in various roles, including assembly line production, engineering, quality control, logistics, and machine maintenance. The work environment is fast-paced and innovative, focusing on sustainability and advanced technology. Teamwork and attention to detail are crucial as Tesla strives to revolutionize the automotive and energy industries.

What are the key skills and qualifications needed to thrive as a Tesla Factory Worker, and why are they important?

To thrive as a Tesla Factory Worker, you need a solid understanding of manufacturing processes, attention to detail, and often a high school diploma or equivalent. Familiarity with assembly line machinery, safety protocols, and tools such as torque wrenches or automated systems is typically required. Strong teamwork, reliability, and a proactive approach to problem-solving are essential soft skills for this role. These abilities ensure efficient, high-quality production and a safe, collaborative work environment in Tesla's fast-paced factories.
More about Tesla Factory jobs
What cities are hiring for Tesla Factory jobs? Cities with the most Tesla Factory job openings:
What states have the most Tesla Factory jobs? States with the most job openings for Tesla Factory jobs include:
What job categories do people searching Tesla Factory jobs look for? The top searched job categories for Tesla Factory jobs are:
Tesla Factory jobs near you
Infographic showing various Tesla Factory job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, 42% Part Time, 8% Temporary, 17% Contract, and 8% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,075 per year, or $16.9 per hour.
Founding Full-Stack Engineer - Takt

Founding Full-Stack Engineer - Takt

Pear

San Francisco, CA • On-site

Full-time

Posted 28 days ago

Job description

About Takt
Our Vision: A world where factories think.
Takt is building the brains of factories.
Factories have spent the last decade digitizing: adding sensors, software, and
dashboards everywhere. Yet most factories aren't meaningfully smarter. Data is
fragmented across disconnected systems, locked in reports, and dependent on tribal
knowledge living in people's heads.
The hard problem isn't collecting data, it's turning it into institutional intelligence.
Takt is building the brains of factories. We're closing the loop from data → information
→ insight → action by orchestrating AI agents with deep operational context across
the entire manufacturing stack. These systems reason about what's happening, why it's
happening, and what to do next, acting as a continuous thought partner to factory
leadership across sales, operations, supply chain, and finance.
This is not a chatbot or another analytics layer. We're pushing the frontier of AI
reasoning and decision-making in real-world, high-stakes environments. Just as Tesla
redefined the car as a software-first system, Takt is redefining manufacturing as a
software-defined industry.
Funding
Takt is funded by Pear VC (backed Doordash, Gusto) and is part of the
PearX accelerator program.
Website: www.taktconnect.com
Founders
Takt was founded by Adhitya Raghavan (CEO) and Will Zunker (CTO).
Adhitya is from a small village in South India and first learned about factories by working
as an operator on his father's shop floor. His journey through squash took him to
Princeton (Mechanical & Aerospace Engineering), Harvard (MBA, Baker Scholar), and
Bain. Now, he's bringing it full circle, building Takt to solve the very pain he experienced
firsthand in factories and aiming to put a dent in the $8 trillion of waste that occurs in
manufacturing globally.
Will an MIT PhD has deep experience in optimizing manufacturing processes through
physics-based modeling and AI, driven by a belief that advanced methods can
fundamentally transform how things are made. Along the way, he built open-source
tools and collaborated with engineers across diverse manufacturing sectors, learning
firsthand the challenges of waste and inefficiency on the factory floor. Now, at Takt, he's
channeling that journey into building technology that helps factories run smarter, faster,
and with less waste.
Core Cultural Values
  1. Stupid enough to make our dreams a reality: We are dreamers who build a better world. We own our decisions. We have the irrational belief and hunger to work until our dreams are a reality
  2. The last one standing: Every single person takes ownership of their work with a gritty resourcefulness and dares to fight for it with every ounce of their energy.
  3. Insatiable curiosity: Its always day 1 and we are an empty cup, a dry sponge ready to learn. Approaching every action with humility and scientific rigor and adopting a Kaizen mindset.
  4. The best F1 team in the stadium: We win together and lose together; every person plays a crucial role to win the race. We have high expectations, trust our teammates and create the environment for everyone to shine. In the path the victory, we celebrate every small professional and personal win cherishing the journey

Role
Founding Full Stack Engineer
  • Location: San Francisco, in person 4 to 5 days a week. Open to candidates willing to relocate.
  • Hours: 50 to 70 hours per week with space for personal interests
  • Compensation: 120-180K
  • Equity: To be discussed (0.5-1%)
  • Prior experience: 2-3 years minimum

You will be the first engineering hire and will work directly with the founders to build the
core intelligence engine that powers modern factories. You will help design, build, and
deploy systems across the entire stack and influence the earliest product, infrastructure,
and architecture decisions. This role is for someone who wants deep ownership and
real long-term impact.
Core Technical Requirements
  • Experience deploying and maintain full stack production grade code at scale to support 50-100 enterprise customers with minimal downtime
  • Strong cloud infrastructure skills (Azure preferred).
  • Deep experience with data pipelines, especially cleaning messy, inconsistent real-world data AI-native in approach to coding utilizing new-age tools (e.g. Claude Code) to develop with speed.
  • Strong generalist coding skillset especially on the back-end side.
Nice to have
  • Experience shipping production AI/ML or LLM systems end-to-end (not research prototypes).
  • Comfortable owning LLM tool orchestration, chain design, agent delegation, prompt engineering, and evaluation methodology.
  • Hands-on experience integrating with enterprise systems like ERP, MES, and other data historians (Microsoft Business Central/ SAP)
  • Working knowledge of relational + SQL databases
  • Familiarity with per missioning models, data governance, or SOC2/GDPR.
  • Experience engaging with IT teams and meeting security requirements for enterprise customers.
Mindset & Work Style
  • Strong sense of agency and ownership: comfortable making fast decisions and revising them.
  • Shipping and moving quickly, makes practical choices, and delivers value to customers
  • Willing to learn and can get things done, even if they don't know it from the get-go
  • Thrives with incomplete information
  • Passion for the product: speaks their mind, contributes ideas, and pushes for the best solution
  • Long-term commitment to the mission, we are building foundational systems, not short-lived features. This means putting in the hours consistently and also making harder short term decisions for long term benefits

Apply