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Internship Slam Engineer Jobs (NOW HIRING)

Amazon

Software Development Engineer II

Reading, MA · On-site

BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 3+ ... SLAM/navigation, manipulation/grasping, perception/computer vision, motion planning, or robot ...

Amazon

Senior Software Development Engineer

Reading, MA · On-site

$129K - $170K/yr

BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ... SLAM/navigation, manipulation/grasping, perception/computer vision, motion planning, or robot ...

Trunk Tools

Robotics Interns

East Palo Alto, CA · On-site

$45/hr

... engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading ... Familiarity with depth cameras, SLAM, or multi-camera calibration. * Teleoperation, motion capture ...

Trunk Tools

Robotics Interns

Redmond, WA

$45/hr

... engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading ... Familiarity with depth cameras, SLAM, or multi-camera calibration. * Teleoperation, motion capture ...

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How much do internship slam engineer jobs pay per hour?

As of Aug 22, 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 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 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 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 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
Infographic showing various Internship Slam Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

NVIDIA 2027 Internships: Ph.D. Research Computer Vision and Deep Learning

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 3 days ago

New

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

By submitting your resume, you acknowledge that your Ph.D. Research Computer Vision and Deep Learning internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.
Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Computer Vision and Deep Learning teams. We're seeking strategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Learn more about Research at NVIDIA.
What you will be doing:
  • Design and implement novel computer vision and deep learning methods.
  • Collaborate with other team members, teams, and/or external researchers.
  • Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.

What we need to see:
  • Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
  • Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies:

Python, C++, CUDA, Deep Learning Frameworks (PyTorch, TensorFlow, etc.)
  • Strong background in research with publications at top conferences.
  • Excellent communication and collaboration skills.
  • Experience with large-scale model training is a plus.

Potential internships require research experience in at least one of the following areas:
  • 3D Vision and Scene Understanding

Optical Flow/Scene Flow
SLAM
Depth Estimation
Digital Twins
  • Human-Centric Vision

Human Motion Modeling
Human avatar creation (Gaussian Avatar, Neural Human Avatars, Text to Avatar Generation)
Physics-Based Clothing/Hair/Body Simulation
  • Neural Rendering and Generative 3D

Diffusion Models
World Models
Neural Radiance Fields (NeRFs)
Novel View Synthesis
3D Content Creation
  • Model Architectures and Efficiency

Efficient Deep Learning
Model pruning and compression
Efficient vision transformers
Neural Architecture Search (NAS)
  • Multimodal and Vision-Language Models
  • Synthetic data generation
  • Weather and Atmospheric Simulation

Click hereto learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.
You will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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