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Internship Tesla Ai Jobs (NOW HIRING)

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA · On-site

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... or internships with daily hardware exposure * Hands-on experience with robotic manipulation ...

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA · On-site

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... or internships with daily hardware exposure * Hands-on experience with robotic manipulation ...

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How much do internship tesla ai jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship tesla ai in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Tesla Ai vs Data Science Intern?

AspectInternship Tesla AiData Science Intern
Required CredentialsEnrolled in or recent graduate of Computer Science, AI, or related fieldsEnrolled in or recent graduate of Data Science, Statistics, or related fields
Work EnvironmentInnovative tech company, automotive and AI labsTech companies, research labs, or corporate data teams
Employer & Industry UsageUsed by Tesla for AI development and autonomous vehicle projectsCommon in tech, finance, healthcare for data analysis and modeling

Internship Tesla Ai focuses on AI and autonomous vehicle technologies, requiring skills in machine learning and software development. Data Science Internships emphasize data analysis, statistical modeling, and insights generation. While both roles involve data and programming, Tesla Ai internships are more specialized in AI applications within automotive tech, whereas Data Science Internships are broader in data analysis across industries.

What types of projects do interns typically work on during a Tesla AI internship?

Tesla AI interns are often assigned to projects that directly contribute to the development and improvement of Tesla’s autonomous driving and machine learning systems. These projects may involve data collection and annotation, building and training neural networks, or developing tools to optimize AI model performance. Interns work closely with experienced engineers and researchers, gaining exposure to real-world applications and cutting-edge technology. The fast-paced environment encourages collaboration and innovation, providing valuable hands-on experience that can accelerate a career in artificial intelligence and robotics.

What is a Tesla AI internship?

A Tesla AI Internship is a temporary, hands-on position for students or recent graduates to work with Tesla's Artificial Intelligence and Autopilot teams. Interns collaborate with engineers and researchers to develop advanced AI models, contributing to projects such as self-driving technology, computer vision, and deep learning. The internship provides real-world experience, mentorship, and opportunities to work on cutting-edge technology that impacts Tesla’s products and services. Candidates typically need a strong background in computer science, machine learning, or related fields, and proficiency in programming languages like Python or C++.

What are the key skills and qualifications needed to thrive as a Tesla AI intern, and why are they important?

To thrive as a Tesla AI Intern, you generally need a strong background in computer science, mathematics, and machine learning, typically supported by coursework or a degree in a related field. Familiarity with programming languages such as Python or C++, experience with deep learning frameworks like TensorFlow or PyTorch, and knowledge of data processing tools are commonly required. Strong analytical thinking, problem-solving ability, and effective teamwork skills help interns excel in dynamic, innovative environments. These competencies enable interns to contribute meaningfully to cutting-edge AI projects and collaborate efficiently with multidisciplinary teams.
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Internship Tesla Ai jobs near you
Infographic showing various Internship Tesla Ai job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Robotics Engineer, Humanoid System Integration

FieldAI

Irvine, CA

$179K/yr

Full-time

Re-posted 13 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.

The Robotics Engineer, Humanoid System Integration will own the integration of humanoid software and hardware subsystems into a cohesive robot stack that is testable, debuggable, and deployment-ready. This role is responsible for bringing together perception, localization, planning, locomotion, manipulation, controls, sensors, compute, networking, diagnostics, and release workflows.
What You'll Do

  • Integrate humanoid subsystems into a reliable full-stack robot system running on physical hardware.

  • Define and maintain interfaces across autonomy, manipulation, locomotion, sensors, compute, controls, and field tools.

  • Own robot bring-up, calibration, configuration, diagnostics, and validation workflows.

  • Debug system-level issues across software, hardware, networking, timing, compute constraints, sensor data, and robot behavior.

  • Develop integration tests, regression tests, telemetry tools, dashboards, and release-readiness checks.

  • Partner with manipulation, hardware, QA/QC, field application, and service teams to keep humanoid platforms continuously shippable.

  • Harden research or prototype capabilities into maintainable, testable, deployment-ready modules.

What You Bring

  • MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field preferred; BS considered with a demonstrated track record of hands-on robotics work across multiple physical systems - research projects, competition robotics, or internships with daily hardware exposure.

  • Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome.

  • Strong hands-on experience integrating robotic systems on real hardware - must include physical hardware; simulation-only backgrounds will not be considered.

  • Strong C++ and Python skills in Linux-based robotics environments.

  • Experience with ROS/ROS2, robot middleware, drivers, calibration, diagnostics, logging, and distributed systems.

  • Understanding of perception, planning, controls, locomotion, manipulation, sensor integration, and embedded compute constraints.

  • Ability to profile performance, isolate failures, define interfaces, and coordinate across multiple technical teams.

What Sets You Apart

  • You've integrated a humanoid or legged/mobile manipulation platform from bring-up through field deployment - not just research or simulation.

  • You've owned the interfaces between locomotion, manipulation, and perception, and debugged failures across those seams on real hardware.

  • You've built the tooling that made other engineers faster: calibration pipelines, regression harnesses, telemetry dashboards, or release gates that prevented bad deploys.

  • You carry hard-won instincts about what separates a demo-ready system from a deployment-ready one - and you've acted on that distinction.

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 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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