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Tesla Designer Jobs (NOW HIRING)

Tesla

Sr. Software Engineer, Charging Payments

Fremont, CA · On-site

$134K - $177K/yr

Tesla is one of the leading companies in the electric vehicle industry, and they are seeking a Senior Software Engineer for their Charging Payments team. The role involves designing and developing ...

Tesla

Staff Software Engineer, FinTech

Fremont, CA · On-site

The role involves designing scalable payment processing systems and collaborating with cross-functional teams to innovate and improve Tesla's financial platforms. Responsibilities : • Design ...

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Tesla Designer information

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$49

$93

How much do tesla designer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for tesla designer in the United States is $49.57, according to ZipRecruiter salary data. Most workers in this role earn between $26.92 and $62.02 per hour, depending on experience, location, and employer.

How does a Tesla Designer typically collaborate with engineers and other teams during the product development process?

As a Tesla Designer, you'll work closely with engineers, product managers, and manufacturing teams to turn innovative concepts into production-ready products. Collaboration is highly cross-functional, involving regular design reviews, feedback sessions, and prototype evaluations to ensure your designs are both aesthetically compelling and technically feasible. You’ll often participate in multidisciplinary meetings, balancing creative vision with performance, safety, and manufacturability requirements. This collaborative approach not only enhances the final product but also provides valuable opportunities to learn from experts across various fields.

What is the difference between Tesla Designer vs Tesla Mechanical Engineer?

AspectTesla DesignerTesla Mechanical Engineer
Required CredentialsDesign degree, portfolio, CAD skillsMechanical engineering degree, CAD, simulation skills
Work EnvironmentDesign studios, collaborative teamsManufacturing sites, R&D labs
Industry UsageFocus on aesthetics and user experienceFocus on product functionality and engineering

Tesla Designers primarily focus on vehicle aesthetics, user interface, and overall visual appeal, requiring design credentials and creative skills. Tesla Mechanical Engineers concentrate on the technical aspects, such as mechanical systems and engineering solutions, requiring engineering degrees and technical expertise. Both roles are essential in Tesla's innovative environment but serve different functions within the product development process.

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

To thrive as a Tesla Designer, you need a solid background in industrial or automotive design, creativity, and proficiency in 3D modeling, often supported by a degree in design or engineering. Mastery of technical tools like Autodesk Alias, CATIA, Adobe Creative Suite, and familiarity with prototyping processes are typically required. Strong collaboration, problem-solving skills, and the ability to communicate design concepts clearly help candidates excel in this innovative environment. These skills ensure that designs are both aesthetically compelling and technically feasible, supporting Tesla's mission of pushing boundaries in automotive and product design.

What does a Tesla Designer do?

A Tesla Designer is responsible for creating and developing the visual and functional aspects of Tesla’s vehicles and products. Their work involves conceptualizing new designs, refining existing ones, and collaborating with engineers and other teams to ensure that the products are aesthetically pleasing, innovative, and functional. Tesla Designers use advanced design software, build prototypes, and participate in user experience testing to deliver products that align with Tesla’s vision of sustainability and cutting-edge technology.
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Tesla Designer jobs near you
Infographic showing various Tesla Designer job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution, with an average salary of $103,112 per year, or $49.6 per hour.

Machine Learning Integration Engineer, Tesla AI

Tesla

Palo Alto, CA • On-site

$122K - $164K/yr

Full-time

Re-posted 14 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 679 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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