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Tesla Autopilot Jobs (NOW HIRING)

FieldAI

Infrastructure Security Engineer

Irvine, CA · On-site

$153K/yr

We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

Yutori

Founding Account Executive

San Francisco, CA · On-site

... Tesla Autopilot, Palantir, Apple, Humane, etc. We've trained Navigator - the world's best computer-use models for browser navigation. It's a proprietary model that predicts keyboard and mouse actions ...

FieldAI

Field Service Engineer - Irvine, CA

Irvine, CA · On-site

... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious ...

FieldAI

Infrastructure Security Engineer

Irvine, CA

$153K/yr

We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

Field Service Engineer - Irvine, CA

Irvine, CA · On-site

... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

Software Engineer, Test Infrastructure

Irvine, CA · On-site

$135K - $170K/yr

We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

Account Executive, Construction

Irvine, CA · On-site

$200K - $250K/yr

We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track ...

FieldAI

Software Engineer, Product

Irvine, CA · On-site

... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious ...

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All JobsTesla Autopilot Jobs

Tesla Autopilot information

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$5

$36

$74

How much do tesla autopilot jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for tesla autopilot in the United States is $36.67, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $48.56 per hour, depending on experience, location, and employer.

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

To thrive as a Tesla Autopilot Engineer, you need strong expertise in computer vision, machine learning, software development (especially in Python and C++), and a relevant engineering degree. Experience with deep learning frameworks (such as TensorFlow or PyTorch), sensor fusion technologies, and autonomous vehicle systems is typically required. Exceptional problem-solving, collaboration, and adaptability are crucial soft skills for innovating and working in fast-paced, multidisciplinary teams. These skills ensure the development of safe, reliable, and cutting-edge autonomous driving features that meet Tesla's rigorous standards.

What are the main challenges faced by engineers working on Tesla Autopilot, and how do teams typically address them?

Engineers working on Tesla Autopilot often encounter challenges such as processing vast amounts of real-time sensor data, ensuring system reliability in diverse driving conditions, and maintaining safety standards. Teams address these challenges by collaborating closely across software, hardware, and machine learning groups, regularly conducting field tests, and using cutting-edge simulation environments. Continuous learning and adaptation are crucial, as the technology and regulatory landscape evolve rapidly. This collaborative, fast-paced environment fosters problem-solving skills and offers opportunities for professional growth.

What is a Tesla Autopilot engineer?

A Tesla Autopilot engineer is a professional who designs, develops, tests, and improves the software and hardware systems that enable Tesla vehicles to drive semi-autonomously. They work with advanced technologies such as computer vision, sensor fusion, machine learning, and control systems to enhance vehicle safety and autonomy. These engineers collaborate with cross-functional teams to ensure the reliable and safe performance of Autopilot features, constantly working to advance Tesla's self-driving capabilities.

What is the difference between Tesla Autopilot vs Automotive Software Engineer?

AspectTesla AutopilotAutomotive Software Engineer
Required CredentialsEngineering degree, experience with AI/ML, automotive systemsEngineering degree, proficiency in software development, embedded systems
Work EnvironmentAutomotive manufacturing, R&D labs, vehicle testingSoftware development teams, automotive companies, R&D labs
Industry UsageAutonomous driving features in vehiclesDeveloping automotive software solutions

Tesla Autopilot focuses on developing and deploying autonomous driving features within Tesla vehicles, requiring expertise in AI, sensors, and automotive systems. Automotive Software Engineers design and implement software for various vehicle functions, often working across multiple automotive brands. While both roles involve automotive technology, Tesla Autopilot specialists are more specialized in autonomous systems, whereas Automotive Software Engineers have broader software development responsibilities in the automotive industry.

What states have the most Tesla Autopilot jobs? States with the most job openings for Tesla Autopilot jobs include:
What job categories do people searching Tesla Autopilot jobs look for? The top searched job categories for Tesla Autopilot jobs are:
Tesla Autopilot jobs near you
Infographic showing various Tesla Autopilot job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 93% Full Time, 1% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $76,274 per year, or $36.7 per hour.

Software Engineer, Frontier AI Infrastructure

Tesla

Palo Alto, CA • On-site

$203K - $241K/yr

Full-time

Re-posted 18 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 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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