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Tesla Engineering Jobs (NOW HIRING)

Tesla

Sr. Cybersecurity Engineer, Energy

Fremont, CA · On-site

... engineering components and system interactions in complex systems Preferred : • Certified security professional • Programming and scripting skills such as Python Company : Tesla is an electric ...

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Tesla

Data Engineer, Training Transformation

Buffalo, NY · On-site

$110K - $133K/yr

... engineering, automation, and analysis. Knowledge of ETL orchestration tools like Airflow and data visualization platforms like Tableau, Power BI Company : Tesla is an electric vehicle and clean ...

Tesla

Space Radiation Engineer, AI Hardware

Palo Alto, CA · On-site

$160K - $414K/yr

Degree in Physics, Electrical Engineering, Aerospace Engineering, or related technical field, or ... Tesla Babies program * Commuter benefits * Employee discounts and perks program Expected ...

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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 Jul 14, 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 is the highest paid job at Tesla?

At Tesla, executive roles such as Vice President or Senior Vice President tend to be the highest paid, often earning multi-million dollar compensation packages that include base salary, bonuses, and stock options. These positions require extensive experience in engineering, management, and industry knowledge. Compensation varies based on performance, responsibilities, and tenure.

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 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.

Is it hard to get a job at Tesla as an Engineer?

Getting an engineering job at Tesla can be competitive, requiring relevant technical skills, a strong educational background, and experience in areas like electrical, mechanical, or software engineering. Candidates often need to demonstrate problem-solving abilities, familiarity with tools such as CAD or MATLAB, and may undergo multiple interview stages. The hiring process emphasizes innovation, technical expertise, and cultural fit.

How much do Tesla engineers get paid?

Tesla engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and specific engineering discipline. Compensation may also include bonuses, stock options, and benefits, with senior roles earning higher salaries.

Does Tesla hire engineers?

Yes, Tesla hires engineers for various roles including electrical, mechanical, software, and manufacturing engineering. Candidates typically need relevant technical degrees, experience, and skills in areas such as CAD, programming, or systems design. The company offers opportunities in design, development, and production environments worldwide.

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 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:
What job categories do people searching Tesla Engineering jobs look for? The top searched job categories for Tesla Engineering jobs are:
Tesla Engineering jobs near you
Infographic showing various Tesla Engineering job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
Software Engineer, Frontier AI Infrastructure

Software Engineer, Frontier AI Infrastructure

Tesla

Palo Alto, CA • On-site

$203K - $241K/yr

Full-time

Posted 26 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 looking for strong software engineers to help scale the next generation of large AI models for Autopilot, Optimus, and Digital Optimus. The role involves optimizing large-scale distributed training systems, improving training efficiency, and collaborating with ML practitioners to enhance model quality and performance.
Responsibilities:
• Optimize large-scale distributed training across thousands of GPUs
• Improve training throughput, utilization, reliability, and scalability
• Develop tooling to identify bottlenecks in compute, networking, memory, and data pipelines
• Design and implement performance optimizations across PyTorch, CUDA, communication libraries, and training frameworks
• Partner with researchers to evaluate how infrastructure changes impact model quality, convergence, and downstream metrics
• Analyze training runs and build dashboards that connect system performance to model outcomes
• Drive improvements in model scaling efficiency, including larger models, longer context lengths, and higher-quality datasets
• Debug complex issues across software, hardware, networking, and machine learning systems
• Build infrastructure that accelerates experimentation and shortens iteration cycles for researchers
Qualifications:
Required:
• Strong software engineering fundamentals in Python and C++
• Experience with distributed systems, high-performance computing, or large-scale infrastructure
• Understanding of machine learning fundamentals, including optimization, training dynamics, and evaluation
• Familiarity with PyTorch and modern deep learning frameworks
• Ability to analyze performance bottlenecks using profiling and observability tools
• Strong debugging and problem-solving skills
• Excellent communication and collaboration 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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