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How much do internship slam engineer jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship slam engineer 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 are the key skills and qualifications needed to thrive as an Internship SLAM Engineer, and why are they important?

To thrive as an Internship SLAM Engineer, you need a strong background in robotics, computer vision, and programming languages like C++ or Python, often supported by coursework or relevant projects. Familiarity with tools such as ROS (Robot Operating System), OpenCV, and SLAM algorithms (e.g., ORB-SLAM, RTAB-Map) is typically expected. Problem-solving skills, attention to detail, and effective teamwork are crucial soft skills in this role. These skills ensure you can develop, test, and optimize SLAM systems that are robust and reliable in real-world robotic applications.

What types of projects and technologies can an Internship SLAM Engineer expect to work on during their internship?

As an Internship SLAM Engineer, you can expect to work on real-world projects involving Simultaneous Localization and Mapping (SLAM) algorithms, often in the context of robotics, computer vision, or augmented reality. Typical responsibilities may include developing and testing SLAM pipelines, integrating sensor data (such as lidar, cameras, or IMUs), and collaborating with software engineers and researchers to improve localization accuracy. You'll gain hands-on experience with tools like ROS, OpenCV, and possibly deep learning frameworks, all while working in a collaborative, innovation-driven team environment. This role provides valuable exposure to the latest industry practices and technologies, setting a strong foundation for a future career in robotics or related fields.

What is an Internship SLAM Engineer?

An Internship SLAM Engineer is a student or recent graduate working in a temporary position focused on Simultaneous Localization and Mapping (SLAM) technology. SLAM is a process used in robotics and computer vision for mapping an unknown environment while tracking the location of a device or robot within it. As an intern, the SLAM Engineer assists in research, development, and testing of SLAM algorithms, often working with sensors, cameras, and robotics platforms. This role provides practical experience in areas like computer vision, robotics, and artificial intelligence, preparing individuals for a career in advanced engineering fields.

What is the difference between Internship Slam Engineer vs Software Engineer Intern?

AspectInternship Slam EngineerSoftware Engineer Intern
Required CredentialsTypically pursuing a degree in engineering, computer science, or related fieldsUsually enrolled in a computer science or software engineering program
Work EnvironmentHands-on engineering projects, hardware and software integration, lab workSoftware development, coding, testing, and debugging in a team setting
Employer & Industry UsageTech companies, engineering firms, manufacturing industriesTech companies, startups, software firms
Common Search & Comparison IntentUnderstanding engineering internship roles and opportunitiesExploring software development internship options

Internship Slam Engineer roles focus on engineering principles, hardware integration, and technical problem-solving, often in manufacturing or hardware-focused environments. In contrast, Software Engineer Intern positions emphasize coding, software development, and testing. Both roles target students in related fields but differ in technical focus and work environment.

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Internship Slam Engineer jobs near you
Research Intern - Robotic Hardware, Simulation and Data

Research Intern - Robotic Hardware, Simulation and Data

Applied Intuition

Sunnyvale, CA

Other

Posted 17 days ago

Job description

About the role:

We are looking for multiple passionate Research Interns to join the Research Group at Applied Intuition. The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist. We have a group composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions-including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA. Learn more at appliedintuition.com/research.

Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.

At Applied Intuition, you will:
  • Conduct research and support the team in one of the following areas
    • Humanoid, general robotics and human data collection hardware experiences (both utilization and design)
    • Large-scale robotic simulation construction, deformable object simulation, and its utilization in RL training
    • Human data processing, retargeting, pose estimation, SLAM
  • Work closely with the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences
We're looking for someone who has:
  • Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects
  • Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics
  • Passion for next-generation, scalable autonomy and robotics

Apply