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Tesla Robotics Jobs (NOW HIRING)

The Bot Company

3D Vision

San Francisco, CA · On-site

$200K - $350K/yr

The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google ...

The Bot Company

3D Vision

San Francisco, CA · On-site

The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave ...

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All JobsTesla Robotics Jobs

Tesla Robotics information

See salary details

$84K

$96K

$116.5K

How much do tesla robotics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for tesla robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is the difference between Tesla Robotics vs Tesla Automation Technician?

AspectTesla RoboticsTesla Automation Technician
Required CredentialsEngineering degree or technical certification in robotics or automationTechnical diploma or certification in automation or electrical systems
Work EnvironmentDesign, develop, and maintain robotic systems in manufacturingInstall, troubleshoot, and repair automation equipment on the production line
Employer & Industry UsagePrimarily in R&D and advanced manufacturing at TeslaHands-on maintenance and support in Tesla's production facilities

Tesla Robotics roles focus on designing and developing robotic systems, requiring engineering expertise. Tesla Automation Technicians handle installation and maintenance of automation equipment, emphasizing practical troubleshooting skills. Both roles are vital in Tesla's manufacturing process but differ in their focus and required qualifications.

Does Tesla hire robotics engineers?

Yes, Tesla hires robotics engineers to develop and improve automation systems for their manufacturing processes and products. Candidates typically need a background in robotics, mechanical or electrical engineering, and experience with control systems and programming languages like Python or C++.
More about Tesla Robotics jobs
What cities are hiring for Tesla Robotics jobs? Cities with the most Tesla Robotics job openings:
What states have the most Tesla Robotics jobs? States with the most job openings for Tesla Robotics jobs include:
What job categories do people searching Tesla Robotics jobs look for? The top searched job categories for Tesla Robotics jobs are:
Tesla Robotics jobs near you
Infographic showing various Tesla Robotics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship

FieldAI

Pittsburgh, PA • On-site

$55 - $59/hr

Other

Posted 8 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
We are offering a Summer 2026 internship in Robot Learning for students interested in advancing embodied intelligence through large-scale learning, foundation models, and real-world robotic deployment. As a research intern, you will work closely with FieldAI researchers and engineers to explore novel approaches to robot learning and autonomy, with a focus on scalable methods that generalize across tasks and embodiments.
This internship is designed for PhD students who want to connect cutting-edge AI research with practical robotics systems. You will have the opportunity to design experiments, develop learning pipelines, and validate ideas on real robotic platforms, contributing directly to FieldAI's deployed autonomy stack.
What You Have:

  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
  • Strong foundation in machine learning fundamentals and experimental methodology.
  • Develop multi-modal data collection platform for day/night robot navigation data collection
  • Collect high-quality datasets for reproducible and comparable research and evaluation
  • Summarize and publish learnings in high-quality robot research conference or journal
  • Ability to work independently while collaborating effectively in a research environment.
  • Strong interest in embodied intelligence and real-world robotics systems.
The Extras That Set You Apart
  • Prior experience working with real robot platforms.
  • Familiarity with ROS or ROS 2.
  • Experience with large-scale or distributed training systems.
  • Publications or open-source contributions in robotics or AI.
  • Background in perception, planning, or control for robotics.
  • Interest in bridging foundational research with deployed robotic systems.
$55 - $59 an hour
What You Have:
  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
  • Strong foundation in machine learning fundamentals and experimental methodology.
  • Develop multi-modal data collection platform for day/night robot navigation data collection
  • Collect high-quality datasets for reproducible and comparable research and evaluation
  • Summarize and publish learnings in high-quality robot research conference or journal
  • Ability to work independently while collaborating effectively in a research environment.
  • Strong interest in embodied intelligence and real-world robotics systems.
The Extras That Set You Apart
  • Prior experience working with real robot platforms.
  • Familiarity with ROS or ROS 2.
  • Experience with large-scale or distributed training systems.
  • Publications or open-source contributions in robotics or AI.
  • Background in perception, planning, or control for robotics.
  • Interest in bridging foundational research with deployed robotic systems.

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, 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 challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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