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How much do intern horizon robotics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for intern horizon robotics in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does an intern at Horizon Robotics do?

An Intern at Horizon Robotics typically assists with projects related to artificial intelligence and robotics, working alongside experienced engineers and researchers. Responsibilities may include data collection, algorithm development, software testing, and supporting the implementation of innovative AI solutions. Interns gain hands-on experience with cutting-edge technology and contribute to real-world applications in areas such as autonomous driving and smart devices. The internship is designed to provide valuable industry exposure and practical skills relevant to a career in robotics and AI.

What types of projects do interns at Horizon Robotics typically work on, and how is mentorship structured during the internship?

Interns at Horizon Robotics are usually assigned to projects that align with the company's focus areas, such as AI algorithms, embedded systems, or autonomous driving solutions. These projects often involve hands-on tasks like data analysis, model training, or software development, under the guidance of experienced engineers. Interns are paired with mentors who provide regular feedback and support, ensuring a collaborative learning environment. This structure helps interns gain practical experience while contributing meaningfully to ongoing company initiatives.

What are the key skills and qualifications needed to thrive as an intern at Horizon Robotics, and why are they important?

To thrive as an Intern at Horizon Robotics, you typically need a strong academic background in computer science, electronics, or related fields, along with foundational knowledge in AI, machine learning, or robotics. Familiarity with programming languages such as Python or C++, and experience using relevant frameworks like TensorFlow or ROS, are commonly expected. Excellent problem-solving abilities, teamwork, and eagerness to learn help interns stand out in this innovative environment. These skills are important because they enable interns to contribute to real-world projects, adapt to rapid technological advancements, and collaborate effectively with experienced professionals.

What is the difference between Intern Horizon Robotics vs Intern NVIDIA?

AspectIntern Horizon RoboticsIntern NVIDIA
Required CredentialsRelevant coursework, basic programming skills, some knowledge of AI/MLSimilar credentials, often with additional focus on GPU computing and deep learning
Work EnvironmentResearch and development in AI hardware/software, collaborative teamsHigh-tech R&D, hardware/software integration, innovative projects
Industry UsageAI chip design, autonomous vehicles, edge computingGraphics processing, AI, data centers, autonomous systems

Both internships target students interested in AI and hardware development, with similar educational backgrounds. Horizon Robotics focuses more on AI chips and edge AI, while NVIDIA emphasizes graphics and high-performance computing. Interns should have foundational skills in programming and AI concepts for both roles.

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Intern Horizon Robotics jobs near you
Infographic showing various Intern Horizon Robotics job openings in the United States as of August 2026, with employment types broken down into 22% Internship, 1% As Needed, 48% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Internship - Foundation Models for Humanoid Robots

Mitsubishi Electric Research Laboratories

Cambridge, MA

Internship

Posted 12 days ago

Job description

MERL is seeking a highly motivated Ph.D. student to conduct research on foundation models for humanoid robot loco-manipulation in factory automation, with a focus on understanding their capabilities, limitations, safety, and robustness. The internship will focus on developing humanoid systems for material handling tasks such as box/cart transportation, kitting, tool manipulation, failure recovery, and other mobile manipulation tasks in warehouse and manufacturing environments. The intern will collaborate closely with MERL researchers to develop novel algorithms that integrate Vision-Language-Action (VLA) models, world models, and robot control for robust long-horizon manipulation on real humanoid platforms. Successful candidates should have demonstrated research experience in embodied AI, robot learning, or computer vision, with the goal of publishing at leading robotics and AI conferences. Start date and duration is flexible.

Required Specific Experience

  • Current enrollment in a Ph.D. program in Mechanical Engineering, Computer Science, Electrical Engineering, or a related field.
  • Hands-on research experience with Vision-Language-Action (VLA) models and/or multimodal foundation models for robotics.
  • Research experience with world models for robotic planning, prediction, or decision making.
  • Sim-to-real transfer and robotic simulation (Isaac Lab, MuJoCo.).
  • Strong publication record or demonstrated research potential in robotics, embodied AI, computer vision, or machine learning. Must have some publications in top robotic or AI conferences / journals (e.g., RSS, ICRA, T-RO, RA-L, NeurIPS, ICML etc).

Desired Experience

  • Contact-rich manipulation and force-controlled manipulation.
  • Whole-body control for humanoid robots.
  • Dexterous manipulation or bimanual manipulation.
  • Reinforcement learning or imitation learning for robotics.
  • Robot perception, 3D vision, or state estimation.
  • Sim-to-real transfer and robotic simulation (Isaac Lab, MuJoCo).
  • Experience deploying algorithms on humanoid platforms.

The pay range for this internship position will be 6-8K per month.

Apply