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Tesla Autopilot Jobs (NOW HIRING)

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

Software Engineer, ROS Developer

Irvine, CA · On-site +1

$70K - $300K/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

Forward Deployed Engineer

Irvine, CA · On-site

$70K - $300K/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

Robotics System Engineer

Irvine, CA · On-site

$170K - $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

Software Engineer, ROS Developer

Irvine, CA · On-site

$70K - $300K/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, 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

Accounting Manager

Irvine, CA · On-site

$120K - $180K/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

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 Product Manager, Construction

Irvine, CA · On-site

$145K - $160K/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

DevOps Engineer, Web Platform

Irvine, CA

$56.50 - $77.50/hr

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

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

1.11 Senior Research Engineer - Humanoid Manipulation

FieldAI

Boston, MA • On-site

$70K - $300K/yr

Full-time

Posted 29 days ago

Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
We are looking for a Research Engineer to join our growing humanoid manipulation efforts. In this role, you will work at the intersection of robotics research and applied engineering, building, testing, and refining manipulation capabilities that accelerate autonomous control and loco-manipulation on humanoid robots. You will collaborate closely with research scientists, engineers, and product partners to design novel manipulation strategies and deliver systems that directly feed into Field AI's robot learning pipelines.
You will also play a key role in advancing robotics foundation models designed to be embodiment agnostic, with an initial focus on humanoid platforms. This role is about pushing the frontier of manipulation research while ensuring that breakthroughs translate into practical, scalable autonomy in real-world environments.
What You'll Get To Do
  • Advance Humanoid Manipulation Research and Development
  • Design, implement, and evaluate manipulation strategies for humanoid robots across a wide range of tasks.
  • Drive projects from early concepts through on-robot testing and deployment.
  • Contribute to loco-manipulation capabilities that integrate perception, control, and planning.
  • Build Systems That Bridge Research and Deployment
  • Translate research ideas into reliable robotic systems that operate in real-world conditions.
  • Ensure systems are robust, reproducible, and aligned with data collection and learning objectives.
  • Develop experimental infrastructure to support rapid iteration and evaluation.
  • Collaborate Across Disciplines
  • Partner with mechanical and electrical engineers on hardware integration and system bring-up.
  • Work closely with teleoperators and field teams to refine interfaces and improve manipulation performance.
  • Act as a connective layer between autonomy research and applied robotics engineering.
  • Rapidly Iterate and Deliver
  • Prototype quickly, run experiments on hardware, and validate results in the field.
  • Balance exploratory research with concrete deliverables that support near-term goals.
  • Debug complex system-level issues spanning software, hardware, and learning.

What You Have
  • Bachelor's, Master's, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field.
  • 4+ years of hands-on experience in robotic manipulation in academic or industry settings.
  • Strong foundation in robot kinematics, dynamics, and control, with a focus on manipulation.
  • Proven experience implementing and evaluating robotic systems on real hardware.
  • Ability to work effectively in fast-paced, highly collaborative environments.
  • Curiosity, ownership, and the confidence to challenge assumptions and propose new approaches.

The Extras That Set You Apart
  • Experience working with humanoid robots or multi-fingered robotic hands.
  • Background in learning-based manipulation, including imitation learning or reinforcement learning.
  • Familiarity with teleoperation systems and human-in-the-loop data collection.
  • Publications or open-source contributions in top robotics venues.
  • Experience with large-scale robotics data collection and dataset management.
  • Strong interest in bridging cutting-edge research with field-ready robotic systems.

$70,000 - $300,000 a year
Why Join Field AI?
FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
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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