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Tesla Autopilot Jobs (NOW HIRING)

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

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

Senior Software Engineer, Mapping Platform

Irvine, CA · On-site

$131K - $173K/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

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/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

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 ...

FieldAI

DevOps Engineer, Web Platform

Irvine, CA · On-site

$115K - $190K/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

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/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

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

... 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

Executive Assistant

Irvine, CA

... 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 Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

... 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

Software Engineer, Web

Irvine, CA · On-site

$155K - $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 ...

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How much do tesla autopilot jobs pay per hour?

As of Jun 7, 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, and why are they important?

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

3D Machine Learning Engineer

FieldAI

Irvine, CA • On-site

Other

Posted 25 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Do
  • Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding.
  • Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud platforms such as AWS (e.g., SageMaker, EC2).
  • Collaborate with software and systems engineers to integrate models into production environments and continuously improve inference pipelines.
  • Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and Building Information Models (BIM).
  • Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization.
What You Have
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field.
  • 2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks.
  • Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning.
  • Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar.
  • Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing.
  • Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, SageMaker) and containerized workflows.
  • Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production.
  • Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams.
The Extras That Set You Apart
  • Experience working with BIM data, digital twins, or construction-related sensor data.
  • Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations.
  • Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow.
  • Strong foundation in geometric computer vision, robotics, or algorithmic 3D reasoning.
  • Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g., NeRF, Occupancy Networks).
  • Deep experience with point cloud and graph learning frameworks such as Open3D-ML, Torch-Points3D, PyG, or MMDetection3D.
  • Experience building custom modules for SparseConvNet or 3D transformers.
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. 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 record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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