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Fall Internship Robotics information

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How much do fall internship robotics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for fall internship robotics in Boston, MA is $18.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 per hour, depending on experience, location, and employer.

What is a fall internship in robotics?

A Fall Internship in Robotics is a temporary, hands-on learning opportunity offered by companies or research institutions during the autumn months, typically for students or recent graduates interested in robotics. Interns work on real-world projects involving robotics hardware, software, automation, or artificial intelligence, gaining practical experience and industry exposure. These internships help participants develop technical skills, build professional networks, and enhance their resumes for future career opportunities in robotics or related fields.

What types of projects do fall internship robotics interns typically work on?

Fall Internship Robotics interns are often assigned to hands-on projects such as developing prototype components, writing and testing code for robotic systems, or assisting with sensor integration. These projects are designed to align with the team's current goals and give interns the opportunity to make meaningful contributions. Interns usually collaborate closely with engineers and fellow interns, gaining practical experience while learning industry-standard tools and workflows. The collaborative environment also helps interns develop communication skills and build a professional network within the robotics field.

What are the key skills and qualifications needed to thrive as a fall internship robotics?

To thrive as a Fall Internship Robotics, you typically need a background in engineering or computer science, with coursework in robotics, programming, and mathematics. Familiarity with programming languages such as Python or C++, robotics platforms like ROS, and hands-on experience with hardware or simulation tools are highly valued. Strong problem-solving skills, teamwork, and effective communication help interns adapt to collaborative, project-driven environments. These competencies enable interns to contribute meaningfully to robotics projects and maximize learning during the internship.

What is the difference between Fall Internship Robotics vs Fall Internship Mechanical Engineering?

AspectFall Internship RoboticsFall Internship Mechanical Engineering
Required CredentialsRelevant coursework, technical skills, possibly some certifications in robotics or programmingEngineering fundamentals, CAD skills, possibly certifications in mechanical design
Work EnvironmentTechnology labs, robotics workshops, collaborative teamsManufacturing floors, design studios, engineering labs
Employer & Industry UsageRobotics companies, tech startups, research labsManufacturing firms, engineering consultancies, industrial companies
Common Search & Comparison IntentUnderstanding internship roles in roboticsExploring mechanical engineering internship opportunities

Fall Internship Robotics focuses on hands-on experience with robotics systems, programming, and automation projects, often in tech or research environments. Fall Internship Mechanical Engineering emphasizes design, analysis, and manufacturing processes in traditional engineering settings. Both internships require engineering fundamentals but differ in technical focus and work environment, catering to different career paths within engineering industries.

What are popular job titles related to Fall Internship Robotics jobs in Boston, MA?

For Fall Internship Robotics jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Fall Internship Robotics jobs in Boston, MA look for?

The top searched job categories for Fall Internship Robotics jobs in Boston, MA are:

What cities near Boston, MA are hiring for Fall Internship Robotics jobs?

Cities near Boston, MA with the most Fall Internship Robotics job openings:

Fall Internship Robotics jobs near you

Robotics Research Internship, Humanoid Manipulation (Fall 2026) | PhD Internship

FieldAI

Boston, MA

$40 - $60/hr

Internship

Re-posted 21 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 Fall 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on humanoids. As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities that directly support FieldAI's autonomy and robot learning efforts while advancing the field of robotics through academic research with the goal of publishing a paper to a leading journal or conference.

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.
  • Work towards super-human dexterity, developing systems that outperform human teleoperation.
Contribute to the Research Community
  • Work towards publishing a paper in a leading robotics conference/journal
  • Work closely with other researchers, both internal and external.
  • Present your work at Field at robotic conferences
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
  • Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes.
  • Partner closely with researchers and engineers to align experiments with broader autonomy goals.
  • Engage with mechanical and electrical engineers on hardware integration and system bring-up.
What You Have
  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, Electrical 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.
  • Publications in leading robotics journals/conferences (ICRA, IROS, CORL, RA-L, T-RO, etc.)
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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