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Tesla Engineering Jobs (NOW HIRING)

Technical Program Manager, Tesla AI

Palo Alto, CA · On-site

$151.80K - $196.50K/yr

Required : • Bachelor's Degree in Computer Science, Engineering, Operations, or a related field ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

Technical Program Manager, Tesla AI

Palo Alto, CA · On-site

$151.80K - $196.50K/yr

Required : • BS in Computer Science, Engineering, Operations, or a related field -- or equivalent ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

Safety Integration Engineer, Tesla AI

Palo Alto, CA · On-site

$122.40K - $164.80K/yr

Tesla is a global leader in innovation, driving advancements in autonomous vehicles and humanoid robotics. As an Integration Engineer on the Autonomy team, you'll be working at the intersection of AI ...

What to Expect We are seeking a skilled Cell Materials Engineering Technician to join our cross-functional Cell Engineering Team at Tesla. This role focuses on supporting battery materials research ...

What to Expect We are seeking a skilled Cell Materials Engineering Technician to join our cross-functional Cell Engineering Team at Tesla. This role focuses on supporting battery materials research ...

Sr. Software Engineer, Traffic Engineering

Fremont, CA · On-site

$134.50K - $177.30K/yr

Tesla is seeking a Software Engineer to join the Traffic Engineering team, which builds and operates critical infrastructure services. The role involves managing global Edge platforms, developing ...

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Tesla Engineering information

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$32.5K

$63K

$95.5K

How much do tesla engineering jobs pay per year?

As of May 30, 2026, the average yearly pay for tesla engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

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

To excel as a Tesla Engineer, you need a solid background in engineering principles, a relevant degree (such as electrical, mechanical, or software engineering), and strong problem-solving abilities. Familiarity with CAD software, simulation tools, and manufacturing systems, as well as experience with electric vehicle technologies, is typically required. Innovation, adaptability, and effective teamwork are critical soft skills that set top performers apart in this role. These skills and qualifications are essential for driving high-impact solutions in Tesla's fast-paced, technology-driven environment.

What collaborative opportunities can engineers expect when working at Tesla?

Engineers at Tesla frequently collaborate with cross-functional teams, including design, manufacturing, and software departments, to drive innovation and solve complex problems. This teamwork-centric environment encourages knowledge sharing and fast-paced iteration, with engineers often participating in daily stand-ups, project reviews, and brainstorming sessions. Such collaboration not only enhances personal development but also allows engineers to gain insights from diverse specialties, accelerating both product innovation and individual career growth.

What do Tesla engineers do?

Tesla engineers are responsible for designing, developing, and improving the technology and systems used in Tesla's electric vehicles, energy products, and manufacturing processes. Their roles can include working on mechanical, electrical, software, or materials engineering projects. Tesla engineers often collaborate in cross-functional teams to innovate and solve complex challenges, ensuring the company remains at the forefront of sustainable energy and automotive technology.

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

AspectTesla EngineeringTesla Mechanical Engineer
Required CredentialsBachelor's degree in engineering, relevant certificationsBachelor's degree in mechanical engineering, possibly some certifications
Work EnvironmentDesign, development, and testing of Tesla products, cross-disciplinary teamsDesign, analysis, and manufacturing of mechanical components within Tesla
Employer & Industry UsageUsed across Tesla's engineering departments for various projectsSpecific to mechanical systems within Tesla's automotive and energy products

Tesla Engineering is a broad role encompassing various engineering disciplines at Tesla, including electrical, software, and mechanical engineering. Tesla Mechanical Engineers focus specifically on mechanical design, analysis, and manufacturing of Tesla's physical products. While both roles require engineering degrees and work within Tesla's innovative environment, Tesla Engineering covers a wider range of specialties, whereas Tesla Mechanical Engineers specialize in mechanical systems.

More about Tesla Engineering jobs
What cities are hiring for Tesla Engineering jobs? Cities with the most Tesla Engineering job openings:
What states have the most Tesla Engineering jobs? States with the most job openings for Tesla Engineering jobs include:
AI Engineer, Foundation Models, Tesla AI

AI Engineer, Foundation Models, Tesla AI

Tesla

Palo Alto, CA • On-site

Full-time

Posted yesterday


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is seeking exceptional Software Engineers to join their AI team focused on building advanced vision and language models. The role involves owning a machine learning vertical, designing network architectures, and deploying foundation models to Tesla's robotic platforms.
Responsibilities:
• Own a machine learning vertical, including deciding what data we should collect and how to label it, designing the network architecture, training the model at scale on one of the largest GPU clusters in the world, and driving and evaluating your model in an engineering Tesla vehicle
• Work with a world-class team on cutting-edge techniques in large multimodal models, multi-task learning, video networks, generative models, imitation learning, semi-supervised learning, and self-supervised learning
• Have an outsized impact deploying foundation models to millions of Tesla’s robotic platforms across the world
Qualifications:
Required:
• Strong software engineering skills: much of modern deep learning success comes down to the quality of the implementation and strong engineering ability is non-negotiable
• Demonstrated excellence and a proven track record of solving difficult software engineering problems
• An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.
• Experience with PyTorch, or another major deep learning framework such as JAX or TensorFlow
• Experience working with large datasets
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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