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Tesla Perception Jobs (NOW HIRING)

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 ...

Our Field Foundational Models™ set a new standard in perception, planning, localization, and ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Our Field Foundational Models™ set a new standard in perception, planning, localization, and ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

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 ...

Our Field Foundational Models™ set a new standard in perception, planning, localization, and ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Conduct precise calibrations of LiDAR, radar, camera arrays, GPS units, IMUs, and perception ... Suzuki, Tesla, Volkswagen, Volkswagon, VW, Volvo, Daimler, Stellantis, Renault, Tata, Zhejiang ...

New

Senior Computer Vision/AI Engineer

Palo Alto, CA · On-site

$123K - $169K/yr

... Tesla, and Meta. We are now hiring a Senior Computer Vision / AI Engineer to help shape the future ... Applied experience in CV for surveillance, physical-world perception problems, remote sensing, or ...

Our Field Foundational Models set a new standard in perception, planning, localization, and ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Our Field Foundational Models set a new standard in perception, planning, localization, and ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Conduct precise calibrations of LiDAR, radar, camera arrays, GPS units, IMUs, and perception ... Suzuki, Tesla, Volkswagen, Volkswagon, VW, Volvo, Daimler, Stellantis, Renault, Tata, Zhejiang ...

Our Field Foundational Models™ set a new standard in perception, planning, localization, and ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Infrastructure Security Engineer

Irvine, CA · On-site

$153K/yr

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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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.

1.53 Robotics Research Internship, Humanoid Manipulation (Summer 2026) | PhD Internship

FieldAI

Boston, MA

$40 - $60/hr

Other

Posted 27 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 offering a Summer 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on real robotic systems. As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities for humanoid robots that directly support FieldAI's autonomy and robot learning efforts.
 
You will collaborate closely with Field AI research scientists and engineers to design experiments, develop manipulation systems, and test ideas on real hardware. This internship emphasizes translating research into practical, scalable systems, while also contributing to longer-term efforts around embodiment-agnostic robotics foundation models.
What You Will Get To Do
  • Advance Humanoid Manipulation Research
  • Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks.
  • Explore loco-manipulation problems that integrate perception, planning, and control.
  • Contribute to research projects from early ideas through on-robot experimentation.
  • Build Systems That Bridge Research and Deployment
  • Translate research concepts into working robotic systems tested on real hardware.
  • Develop experimental setups and tooling to support data collection and evaluation.
  • Help ensure manipulation systems are robust, reproducible, and field-relevant.
  • Contribute to Robotics Foundation Model Development
  • Support data collection pipelines used to train robotics foundation models.
  • Work with embodiment-agnostic representations to enable transfer across robot platforms.
  • Collaborate with researchers to integrate manipulation data into scalable learning frameworks.
  • Collaborate Across Disciplines
  • Partner with mechanical and electrical engineers on hardware integration and system bring-up.
  • Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes.
  • Engage closely with researchers and engineers to align experiments with broader autonomy goals.
  • Rapidly Iterate and Learn
  • Prototype quickly, run experiments on hardware, and analyze results rigorously.
  • Balance exploratory research with concrete deliverables over the course of the internship.
  • Debug system-level issues spanning software, hardware, and learning.
What You Have
  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, AI/ML, or a closely related field.
  • Research experience in robotic manipulation, loco-manipulation, or related robotics domains.
  • Strong foundation in robot kinematics, dynamics, and control.
  • Proficiency in Python and/or C++, with experience using robotics or ML tooling.
  • Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
  • Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics.
The Extras That Set You Apart
  • Prior experience working with humanoid robots or dexterous robotic hands.
  • Background in learning-based manipulation, including imitation learning or reinforcement learning.
  • Hands-on experience running experiments on real robot hardware.
  • Familiarity with ROS or ROS 2.
  • Publications, preprints, or open-source contributions in robotics or AI.
  • Interest in bridging cutting-edge research with practical, field-ready robotic systems.
$40 - $60 an hour
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 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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