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Tesla Perception Jobs (NOW HIRING)

Chef Robotics

Staff Autonomy Engineer

San Francisco, CA

$160K - $240K/yr

... Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a ... Own the end-to-end architecture and hands-on development of Chef's autonomy stack - perception ...

FieldAI

Robotics System Engineer

Irvine, CA · On-site

$170K - $190K/yr

Strong understanding of autonomy systems including perception, localization, planning, controls ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

Our Field Foundational Models™ raise the bar for perception, planning, localization, and ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

Senior Product Manager, Construction

Irvine, CA

$135K - $179K/yr

Background working with robotics, perception, or AI-driven systems Our salary range is generous and ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

FieldAI

Senior Product Manager, Construction

Irvine, CA · On-site

$145K - $160K/yr

Background working with robotics, perception, or AI-driven systems $145,000 - $160,000 a year Our ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

FieldAI

Senior Product Manager, Construction

Irvine, CA · On-site

$145K - $160K/yr

Background working with robotics, perception, or AI-driven systems $145,000 - $160,000 a year Our ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

Our Field Foundational Models™ raise the bar for perception, planning, localization, and ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

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All JobsTesla Perception Jobs

Tesla Perception information

See salary details

$26K

$52.1K

$78.5K

How much do tesla perception jobs pay per year?

As of Jun 24, 2026, the average yearly pay for tesla perception in the United States is $52,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $60,000.00 per year, depending on experience, location, and employer.

Is it difficult to get hired at Tesla?

Getting hired at Tesla can be competitive due to high application volumes and the company's emphasis on technical skills, relevant experience, and a strong work ethic. Candidates often undergo multiple interview rounds, including technical assessments and behavioral interviews, to demonstrate their qualifications for roles such as engineering, manufacturing, or software development.

Does Tesla hire people with no experience?

Tesla hires individuals with varying levels of experience, including those new to the industry. Entry-level positions may require basic skills or training, and some roles offer on-the-job training for candidates without prior experience.

Why are employees leaving Tesla?

Employees leaving Tesla often cite factors such as demanding work schedules, high performance expectations, and workplace stress. Turnover can also be influenced by job satisfaction, compensation, and opportunities for advancement within the company. The company emphasizes innovation and fast-paced environments, which can impact employee retention.

What is the difference between Tesla Perception vs Tesla Perception Engineer?

AspectTesla PerceptionTesla Perception Engineer
Required CredentialsTypically requires a bachelor's or master's in computer science, electrical engineering, or related fieldsRequires similar degrees, often with additional experience in perception algorithms and software development
Work EnvironmentInvolves data annotation, testing perception systems, and collaborating with engineering teamsFocuses on designing, developing, and optimizing perception algorithms and systems
Industry UsageUsed across Tesla's autonomous vehicle projects for data labeling and validationApplied in developing perception models for Tesla's self-driving features

In summary, Tesla Perception roles often involve data annotation and validation tasks, while Tesla Perception Engineers focus on creating and refining perception algorithms. Both roles are essential in Tesla's autonomous vehicle development but differ in responsibilities and technical depth.

What is the highest paying job at Tesla?

The highest paying job at Tesla is typically executive roles such as Chief Executive Officer (CEO) or Chief Financial Officer (CFO), which can offer compensation packages including high base salaries, stock options, and bonuses. Senior engineering and specialized technical roles, like Lead Battery Engineer or Autopilot Software Director, can also command high salaries depending on experience and responsibilities.
Infographic showing various Tesla Perception job openings in the United States as of June 2026, with employment types broken down into 15% As Needed, 39% Full Time, 23% Contract, and 23% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $52,105 per year, or $25.1 per hour.

Robotics Research Intern, Robot Learning (Summer 2026) | PhD Internship

FieldAI

Pittsburgh, PA • On-site

$50 - $53/hr

Full-time, Temporary, Internship

Posted 2 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.

$50 - $53 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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