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Tesla Machinist Jobs (NOW HIRING)

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 ...

... machine learning models for internal service applications. These applications support Tesla s service centers, collision centers, global customer relationship management, and insurance claims. As a ...

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Machine Operator For Wood Production

Ionia, MI · On-site

$14.75 - $19.25/hr

We're lucky to outfit some of the leading brands in the world, including Lyft, Microsoft, Tesla and ... Enwork is looking for experienced machine operators to work in our wood furniture department.

Machine Operator For Wood Production

Ionia, MI · On-site

$14.75 - $19.25/hr

We're lucky to outfit some of the leading brands in the world, including Lyft, Microsoft, Tesla and ... Enwork is looking for experienced machine operators to work in our wood furniture department.

Siemens Controls Engineer

Fremont, CA · On-site

$99K - $128K/yr

Building complex machine sequences for automation tasks like material handling, fastening, welding, testing, etc. * Using Python and SQL to connect equipment with Tesla's Manufacturing Execution ...

Siemens Controls Engineer

Fremont, CA · On-site

$99K - $128K/yr

Building complex machine sequences for automation tasks like material handling, fastening, welding, testing, etc. * Using Python and SQL to connect equipment with Tesla's Manufacturing Execution ...

A-Level Tech

Laurel, MD · On-site

$30 - $35/hr

We're talking state-of-the-art tools, Tesla-specific repair protocols, and a crew of serious techs ... working around machinery, and automotive fluids. The environment can be noisy and fast paced ...

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A-Level Tech

Rockville, MD · On-site

$30 - $35/hr

We're talking state-of-the-art tools, Tesla-specific repair protocols, and a crew of serious techs ... working around machinery, and automotive fluids. The environment can be noisy and fast paced ...

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Tesla Machinist information

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$14

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How much do tesla machinist jobs pay per hour?

As of Jul 13, 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 are Tesla Machinists?

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, and why are they important?

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 July 2026, with employment types broken down into 89% Full Time, 2% Part Time, 2% Contract, and 7% Nights. Highlights an 100% Physical job distribution, with an average salary of $53,313 per year, or $25.6 per hour.
Machine Learning Engineer, Supply Chain Systems

Machine Learning Engineer, Supply Chain Systems

Tesla

Fremont, CA • On-site

Full-time

Posted 10 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 676 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. The role involves designing, developing, and deploying machine learning models to enhance supply chain processes, including forecasting and optimization algorithms.
Responsibilities:
• Design, develop, and implement machine learning models for supply chain forecasting, including demand prediction, inventory optimization and risk assessment using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas
• Collaborate with supply chain planners to integrate ML models into existing platforms, ensuring real-time decision making for supplier selection, warehouse allocation, reduce costs and mitigate part availability risks
• Perform model validation and performance monitoring to ensure models maintain high accuracy
• Take ownership of production models, ensuring robust alerting systems for rapid issue resolution
• Work with diverse, heterogeneous datasets (supply, demand, seasonal variation) to build scalable solutions
• Translate ambiguous problem statements into actionable, end-to-end machine learning models
• Follow agile development practices and maintain high standards for clean, modular, and sustainable code
Qualifications:
Required:
• Proven experience in scaling and optimizing inference for large ML models, particularly transformers or similar architectures
• Familiarity with quantization-aware training, model compression, and distillation for edge and real-time inference
• Proficiency with Python and C++ and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Strong understanding of computer systems and architecture, with experience deploying ML models on GPUs, TPUs, or NPUs
• Hands-on expertise with CUDA programming, low-level performance profiling, and compiler-level optimization (TensorRT, TVM, XLA)
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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