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Tesla Machinist Jobs (NOW HIRING)

As one of these specialty machinists, tool and die makers can see the impact their career has in the world and in various industries. The Tesla Tool & Die Apprenticeship Program at our Grand Rapids ...

As one of these specialty machinists, tool and die makers can see the impact their career has in the world and in various industries. The Tesla Tool & Die Apprenticeship Program at our Grand Rapids ...

Use in-house tools to label images for the Tesla AI team * Interact with team members to help us improve on the design of an efficient labeling interface * Gain basic computer vision and machine ...

Use in-house tools to label images for the Tesla AI team * Interact with team members to help us improve on the design of an efficient labeling interface * Gain basic computer vision and machine ...

Use in-house tools to label images for the Tesla AI team * Interact with team members to help us improve on the design of an efficient labeling interface * Gain basic computer vision and machine ...

Data Labeler

Palo Alto, CA · On-site

$25.25 - $29.10/hr

Use in-house tools to label images for the Tesla AI team * Interact with team members to help us improve on the design of an efficient labeling interface * Gain basic computer vision and machine ...

Excavator Operator, Commercial Self Perform

Austin, TX · On-site

$22.25 - $29.50/hr

... Tesla's critical mission * Proven experience as an Excavator Operator or in a similar heavy equipment role * Valid certification or license for operating heavy machinery (as required by local ...

Excavator Operator, Commercial Self Perform

Sparks, NV · On-site

$23 - $30.50/hr

... Tesla's critical mission * Proven experience as an Excavator Operator or in a similar heavy equipment role * Valid certification or license for operating heavy machinery (as required by local ...

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Tesla Machinist information

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How much do tesla machinist jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for tesla machinist in the United States is $25.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $28.61 per hour, depending on experience, location, and employer.

What are some typical challenges a Tesla machinist might face in the fast-paced manufacturing environment?

Tesla Machinists often work in a rapid, innovative production setting where adapting to new technologies and processes is essential. Challenges can include working with tight tolerances on advanced materials, keeping up with evolving machinery, and collaborating closely with engineers on prototype components. Additionally, machinists may need to troubleshoot and resolve unexpected issues quickly to minimize production downtime. The environment encourages continuous learning and teamwork, making flexibility and effective communication crucial for success.

What is a Tesla machinist?

Tesla Machinists are skilled technicians who operate, maintain, and program machine tools such as lathes, mills, and grinders to manufacture precision parts for Tesla's vehicles and energy products. They play a crucial role in the production process by ensuring components are made to exact specifications and quality standards. Tesla Machinists often work with advanced equipment, including CNC (Computer Numerical Control) machines, and collaborate with engineers to optimize manufacturing processes. Their work supports Tesla's mission to accelerate the world's transition to sustainable energy by ensuring high-quality parts in every product.

What are the key skills and qualifications needed to thrive as a Tesla machinist?

To thrive as a Tesla Machinist, you need strong mechanical aptitude, precision machining experience, and typically a technical diploma or apprenticeship in machining or manufacturing. Proficiency with CNC machines, CAD/CAM software, precision measurement tools, and possibly certifications like NIMS are essential for daily tasks. Attention to detail, problem-solving skills, and teamwork set outstanding machinists apart in a high-tech, fast-paced environment. These skills and qualities ensure the production of high-quality components critical to Tesla's innovative manufacturing processes and product standards.

What is the difference between Tesla Machinist vs Tesla CNC Operator?

AspectTesla MachinistTesla CNC Operator
Required CredentialsHigh school diploma, machinist certifications, technical trainingHigh school diploma, CNC programming and operation certifications
Work EnvironmentManufacturing floors, machine shops, precision machiningManufacturing floors, CNC machine operation, setup and programming
Industry UsageAutomotive manufacturing, precision parts productionAutomotive manufacturing, automated machining processes
Common Search/ComparisonYesYes

The Tesla Machinist and Tesla CNC Operator roles both involve working with manufacturing equipment in Tesla's production facilities. While machinists focus on manual and precision machining tasks, CNC operators primarily handle computer-controlled machines. Both roles require technical certifications and are integral to Tesla's manufacturing process, often overlapping in work environment and industry usage.

More about Tesla Machinist jobs
What cities are hiring for Tesla Machinist jobs? Cities with the most Tesla Machinist job openings:
What states have the most Tesla Machinist jobs? States with the most job openings for Tesla Machinist jobs include:
What job categories do people searching Tesla Machinist jobs look for? The top searched job categories for Tesla Machinist jobs are:
Infographic showing various Tesla Machinist job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 2% Part Time, 3% Contract, and 8% Nights. Highlights an 100% Physical job distribution, with an average salary of $53,313 per year, or $25.6 per hour.

Machine Learning Integration Engineer, Tesla AI

Tesla

Palo Alto, CA • On-site

$122K - $164K/yr

Full-time

Re-posted 19 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 681 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is building the future of AI systems that operate in the real world where safety, reliability, and performance are non-negotiable. As a Machine Learning Integration Engineer, you’ll transform cutting-edge AI research into deployable, safety-critical systems that power Tesla’s vehicles and humanoid robots, collaborating closely with hardware and firmware teams to improve vehicle systems and customer experience.
Responsibilities:
• Leverage millions of miles of driving data and interventions to build robust and scalable end-to-end learning-based systems
• Combine multiple data sources, including video, audio, thermal, mechanical, weather, and other sensors to develop and train end-to-end models for control of all vehicle accessories required for autonomous operation
• Lead a machine learning vertical: define data strategies and labeling pipelines, design network architectures, train models, validate with real-world fleet data, and integrate within Tesla’s AI stack
• Integrate directly with vehicle firmware and ship production-quality, safety-critical software to the entirety of Tesla’s vehicle fleet
• Have an outsized impact by shipping your models to millions of Tesla vehicles worldwide
Qualifications:
Required:
• Strong physics and mathematical fundamentals
• Proficiency in writing production-quality code in Python and experience with any major deep learning framework
• Proficiency in modern C++ to integrate with vehicle firmware and take projects from ideas to shipped products
• Experience designing, training, deploying, and evaluating models on an actual physical platform (e.g., robots, drone, etc.)
• An 'under the hood' knowledge of deep learning modern architectures, optimization, quantization, and model alignment
• Ability to think 'out-of-the-box' to push performance beyond apparent limitations
• Excellent problem-solving, critical thinking, and communication skills
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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