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Perception Internship information

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How much do perception internship jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for perception internship in the United States is $16.33, 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 is a perception internship?

A Perception Internship is a temporary position, typically for students or recent graduates, focused on developing skills in computer vision, sensor data processing, and machine perception. Interns work on projects related to enabling machines or robots to interpret and understand their environment using cameras, LiDAR, radar, and other sensors. These internships are common in industries like autonomous vehicles, robotics, and artificial intelligence research, offering practical experience in areas such as deep learning, image processing, and sensor fusion. The role often involves collaborating with experienced engineers, contributing to real-world projects, and learning about the latest advancements in perception technology.

What types of projects or tasks does a perception intern typically work on during their internship?

Perception Interns often assist with real-world projects involving computer vision, sensor data analysis, and machine learning model development. They may work on tasks such as data labeling, algorithm prototyping, testing sensor systems, and collaborating with full-time engineers to improve perception pipelines for autonomous systems. Interns frequently participate in team meetings, code reviews, and research discussions, gaining exposure to both the technical and collaborative aspects of the field. This hands-on experience helps interns develop practical skills and gain insight into how perception technologies are developed and deployed in industry settings.

What are the key skills and qualifications needed to thrive as a perception intern, and why are they important?

To thrive as a Perception Intern, you generally need a background in computer science, robotics, or a related field, along with foundational knowledge of computer vision and machine learning principles. Familiarity with programming languages like Python or C++, and experience with libraries such as OpenCV, TensorFlow, or ROS, are often required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly are valuable soft skills in this role. These skills enable interns to effectively contribute to perception system development, ensuring accurate data interpretation and successful project outcomes.

What is the difference between Perception Internship vs Data Analyst Internship?

AspectPerception InternshipData Analyst Internship
Required CredentialsRelevant coursework, basic technical skillsStatistical, analytical, and technical skills
Work EnvironmentResearch labs, tech companies, or academic settingsBusiness, finance, or tech firms
Industry UsageFocus on perception, cognition, or sensory dataFocus on data analysis, reporting, and insights
Common Search IntentUnderstanding perception-related roles and internshipsFinding data analysis internship opportunities

Perception Internships typically involve research related to sensory perception, cognition, or experimental psychology, often in academic or research settings. Data Analyst Internships focus on analyzing data sets, creating reports, and deriving insights for businesses. While both roles require analytical skills, perception internships emphasize experimental and psychological understanding, whereas data analyst roles focus on data manipulation and business intelligence.

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Perception Internship jobs near you
Infographic showing various Perception Internship job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

Senior Research Scientist, Human‑AI Perception and Interaction

NVIDIA Gruppe

Santa Clara, CA • On-site

$192 - $356.50/hr

Other

Posted 3 days ago

New

Job description

Overview

We are looking for a Senior Research Scientist for Human‑AI Perception & Interaction. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation, 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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join the team to make a lasting impact on the world.

We, the Human Performance and Experience (HPX) team at NVIDIA Research, strive to lead AI innovation by deeply understanding humans. We are looking for individuals who are passionate about advancing AI in gaming, robotics, and more by employing human intelligence and human interaction to shape perception, learning, and behavior. We bridge vision science, HCI, and HRI to create systems that perceive, learn, and collaborate with people safely and effectively. You will work in a team of research scientists and engineers from varied backgrounds and closely collaborate with product engineers.

What you'll be doing
  • Propose, research, prototype and test innovative research ideas.
  • Publish at top conferences and patent novel inventions.
  • Collaborate with other research team members, external researchers, and mentor interns.
  • Create working interactive demonstrations to showcase your research ideas.
  • Participate in technology transfer with engineers around NVIDIA as ideas “graduate” from research to product.
What we need to see
  • Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
  • 3+ years of relevant work experience.
  • Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
  • Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
  • Proficiency with Python, Rust, and/or C++.
  • Experience with AI model training and evaluation frameworks, like PyTorch.
Ways to stand out from the crowd
  • Demonstrated public portfolio (repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
  • Experience with multi-node, multi-GPU training and inference workflows.
  • Familiarity with and interest in modern deep learning models, including large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
  • A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 2026.

This posting is for an existing vacancy.

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.

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