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Tesla Quality Control Jobs in California (NOW HIRING)

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

Improve QA processes, test procedures, and operational checklists * Support ongoing system ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

Improve QA processes, test procedures, and operational checklists * Support ongoing system ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

Improve QA processes, test procedures, and operational checklists * Support ongoing system ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

Tesla

Warranty & Policy Lead

Fremont, CA · On-site

$108K - $198K/yr

What to Expect Join Tesla's Service Operations team as a Warranty Waste & Policy Lead, where you ... Surface recurring quality issues from field partners and auditors that affect customer experience ...

New

Tesla

Lead Material Handler, Energy

Tracy, CA · On-site

$25/hr

Collaborate with supervisors and cross-functional teams to support continuous improvement initiatives in safety, quality, cost, and productivity What You'll Bring * Current Tesla Production Control ...

Tesla

Software Engineer, Backend

Fremont, CA · On-site

The Manufacturing Quality Data Engineering team is looking for a Software Engineer, Backend to ... control systems such as Git Company : Tesla is an electric vehicle and clean energy company that ...

BillionToOne

Quality Engineer, Prenatal

Union City, CA · On-site

$82K - $105K/yr

Expertise in Product Quality such as Design Control, Risk Management, and Usability. * Experience ... Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud ...

Essel

Traveling Superintendent

City Of Industry, CA · On-site

... Tesla Service Centers and Amazon Fulfillment Centers . This position will be based out of City of ... Strong understanding of safety, quality control, sequencing, and field coordination. * Comfortable ...

Essel

Traveling Superintendent

City Of Industry, CA · On-site

... Tesla Service Centers and Amazon Fulfillment Centers . This position will be based out of City of ... Strong understanding of safety, quality control, sequencing, and field coordination. * Comfortable ...

Essel

Traveling Superintendent

City Of Industry, CA · On-site

... Tesla Service Centers and Amazon Fulfillment Centers . This position will be based out of City of ... Strong understanding of safety, quality control, sequencing, and field coordination. * Comfortable ...

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Tesla Quality Control information

What skills and qualifications are needed for a Tesla quality control?

To thrive as a Tesla Quality Control professional, you need a strong background in quality assurance, manufacturing processes, and a deep understanding of industry standards, often supported by a relevant degree or certification. Familiarity with tools such as SPC software, inspection equipment, and quality management systems like ISO 9001 is typically required. Strong attention to detail, analytical thinking, and effective communication are vital soft skills for this role. These skills are crucial for maintaining Tesla's high product standards, ensuring safety, and promoting continuous improvement in a fast-paced automotive environment.

What is a Tesla quality control?

A Tesla Quality Control job involves inspecting vehicles, components, and manufacturing processes to ensure they meet company and industry standards. Employees in this role identify defects, perform tests, and document findings to maintain high-quality production. They collaborate with production teams to improve processes and prevent defects. Attention to detail and knowledge of inspection tools are essential for success in this role.

What does a Tesla quality control do?

Quality Control professionals at Tesla are responsible for inspecting components and finished products, documenting defects or inconsistencies, and collaborating closely with production and engineering teams to resolve quality issues. On a daily basis, you may perform both manual and automated inspections using specialized tools and software, analyze data to identify trends, and participate in process improvement initiatives. The role often involves rapid problem-solving and frequent communication to ensure production goals and compliance standards are met. You may also provide feedback and support for training line staff on best practices, helping to foster a culture of continuous improvement.

What are the most commonly searched types of Tesla Quality Control jobs in California? The most popular types of Tesla Quality Control jobs in California are:
What are popular job titles related to Tesla Quality Control jobs in California? For Tesla Quality Control jobs in California, the most frequently searched job titles are:
What job categories do people searching Tesla Quality Control jobs in California look for? The top searched job categories for Tesla Quality Control jobs in California are:
What cities in California are hiring for Tesla Quality Control jobs? Cities in California with the most Tesla Quality Control job openings:
Tesla Quality Control jobs near you
Infographic showing various Tesla Quality Control job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Machine Learning Integration Engineer, Tesla AI

Tesla

Palo Alto, CA • On-site

$122K - $164K/yr

Full-time

Re-posted 20 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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