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Internship Perception Engineer Jobs in Berkeley, CA

Kargo

Software Engineer, Edge

San Francisco, CA · On-site

Build and improve computer vision features using 3D perception and AI technologies. * Help develop ... Experience * 1 to 2 years of professional, internship, or research experience in software ...

Kargo

Software Engineer, Edge

San Francisco, CA · On-site

Build and improve computer vision features using 3D perception and AI technologies. * Help develop ... Experience * 1 to 2 years of professional, internship, or research experience in software ...

Gradient Robotics

Software Engineer

San Francisco, CA · On-site

You'll work close to the hardware, from kernel and firmware up through the controls and perception ... with strong project or internship experience are welcome to apply) * Strong programming ...

Waabi

Research Internship/Co-op

San Francisco, CA

$45 - $60/hr

... Engineers using an AI-first approach to enable safe self-driving at scale. - Lead or Contribute to ... This includes topics such as perception, prediction, motion planning, controls, simulation, mapping ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

... Engineers using an AI-first approach to enable safe self-driving at scale. - Lead or Contribute to ... This includes topics such as perception, prediction, motion planning, controls, simulation, mapping ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... visual perception and high-level behavioral goals into physical vehicle actuation • Develop ... Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ...

Atoms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... visual perception and high-level behavioral goals into physical vehicle actuation • Develop ... Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ...

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Internship Perception Engineer information

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How much do internship perception engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship perception engineer in Berkeley, CA is $23.65, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.62 per hour, depending on experience, location, and employer.

What is an internship perception engineer?

An Internship Perception Engineer is a student or recent graduate who works on developing and improving perception systems, often within the fields of robotics, autonomous vehicles, or computer vision. Their responsibilities typically include processing sensor data (like cameras, LiDAR, or radar), developing algorithms for object detection and tracking, and contributing to machine learning models that help machines understand their environment. These internships offer hands-on experience with cutting-edge technologies and exposure to real-world engineering challenges. Interns usually work under the guidance of experienced engineers and may collaborate with teams across hardware, software, and research.

What types of projects does an internship perception engineer typically work on, and how do these contribute to the overall goals of the engineering team?

Internship Perception Engineers usually work on projects involving data collection, algorithm development, and sensor integration to help machines interpret their environments. These projects can include tasks like annotating sensor data, testing perception models (such as object detection or tracking), or supporting the deployment of perception systems in real-world scenarios. By contributing to these projects, interns help the team improve the accuracy and reliability of perception solutions, which are essential for applications like autonomous vehicles or robotics. Interns often collaborate closely with senior engineers and cross-functional teams, gaining hands-on experience and exposure to state-of-the-art technologies.

What are the key skills and qualifications needed to thrive as an internship perception engineer, and why are they important?

To thrive as an Internship Perception Engineer, you need a solid background in computer vision, machine learning, and programming languages such as Python or C++, often supported by coursework in robotics or artificial intelligence. Familiarity with tools like ROS, OpenCV, TensorFlow, and experience working with sensor data (e.g., LiDAR, cameras) are typically required. Strong problem-solving abilities, teamwork, and effective communication set top candidates apart in collaborative, research-driven environments. These skills are crucial for developing and integrating advanced perception algorithms that enable autonomous systems to interpret and interact with their surroundings.

What is the difference between Internship Perception Engineer vs Perception Engineer?

AspectInternship Perception EngineerPerception Engineer
Required CredentialsTypically pursuing or recently completed relevant degree (e.g., Computer Science, AI)Bachelor's or higher in related field, with experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time professional role, responsible for perception system development
Employer & Industry UsageInternship programs in tech companies, research labsEstablished companies in autonomous vehicles, robotics, AI
Search & Comparison IntentUnderstanding entry-level roles, internships, career pathProfessional expertise, career advancement, project responsibilities

In summary, an Internship Perception Engineer is an entry-level role designed for students or recent graduates gaining experience in perception systems, while a Perception Engineer is a full-time professional responsible for developing and maintaining perception algorithms in industry settings.

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Internship Perception Engineer jobs near you

Robotics Perception Engineer Intern

Gritt

South San Francisco, CA • On-site

Full-time

Re-posted yesterday

Job description

Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.
Role: Robotics Perception Engineer Intern
Location: SF Bay Area (in-person)
About Internships at Gritt
Our internships are scoped projects: you own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team. Many interns receive return or full-time offers. This will be an internship for one of two durations: 3 months, or 6 months.
We offer competitive salaries, and the opportunity to work on a mission with tremendous climate impact.
What you'll get to work on
  • Develop and evaluate perception components on real robot data.
  • Build datasets and evaluation harnesses; run experiments and report results.
  • Integrate your module into the live robot stack and demo it.
  • Get hands-on with pose estimation, VLMs, VLAs, 3D scene reconstruction, object detection, and multimodal learning.
  • Test your work on real robots at the office.
  • Opportunity to publish (for PhD interns).
  • Attend Tier-1 industry conferences.

Example projects could be anything from building a robust 6DOF pose estimation stack that can work in harsh degraded outdoor conditions, to shipping a 3D object detection module for our manipulation stack.
What we look for
  • Pursuing MS/PhD in CS, EE, Robotics, or related field.
  • Strong Python skills; experience with PyTorch and computer vision fundamentals.
  • Evidence of applied work: projects, competitions, publications, or industry robotics experience.
  • Should be comfortable taking ownership of tasks with light supervision.
  • Must have excellent problem-solving skills.
  • Legally authorized to do an internship in the United States for either 3 months or 6 months.
Nice to have
  • Experience with sensor drivers, CUDA, 3D geometry, or multi-sensor fusion.

Apply