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Internship Remote Robotics Jobs (NOW HIRING)

Fulton Bank

Associate Integration & Automation Developer

PA · On-site +1

$51.60K - $86K/yr

Overview This is a full-time career opportunity that can be remote. Must have the ability to come ... internships, or personal projects involving integration platforms (Boomi, MuleSoft, etc.), RPA ...

JerseySTEM, Inc.

MKTG100: Brand Marketing Lead

K-12 educators, retirees, veterans, interns, and students are exempt from the deposit. Overview ... Robotics, Coding, Engineering, Life Sciences, etc. Classes last up to 10 weeks and are ...

HedgeServ

Investor Services Administrator

Dallas, TX · On-site +1

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

HedgeServ

Investor Services Administrator

Raleigh, NC · On-site +1

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

HaloBraid

Social Media Associate

Cambridge, MA · On-site +1

We're building the world's first robotic hair-braiding that works with professional stylists to ... Internship or work experience at a beauty, hair care, fashion, lifestyle, consumer, or creator-led ...

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How much do internship remote robotics jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for internship remote robotics in the United States is $17.31, 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 are the key skills and qualifications needed to thrive as a Remote Robotics Intern, and why are they important?

To thrive as a Remote Robotics Intern, you need a foundational understanding of robotics principles, programming languages such as Python or C++, and coursework in engineering or computer science. Familiarity with robotics simulation tools like ROS (Robot Operating System), version control systems (e.g., Git), and basic hardware interfacing is often expected. Strong problem-solving skills, initiative, and effective remote communication set top candidates apart in this role. These skills are crucial for successfully contributing to projects, collaborating virtually with teams, and adapting to the dynamic field of robotics.

What types of projects and tasks can I expect to work on during a remote robotics internship?

During a remote robotics internship, you can expect to contribute to a variety of projects, such as developing algorithms for robot navigation, assisting with simulation testing, and supporting hardware integration through software. Many tasks involve collaborating virtually with engineers and researchers, attending team meetings, and providing documentation or code reviews. Interns often work with programming languages like Python or C++, and may use tools like ROS (Robot Operating System) to contribute to ongoing research or product development. This experience helps build practical skills in robotics while working in a supportive, team-driven environment.

What is a remote robotics internship?

A remote robotics internship is a temporary, educational work experience in which interns contribute to robotics projects while working from a location outside the employer’s physical office, typically from home. These internships allow students or recent graduates to gain hands-on experience with robotics systems, programming, and engineering tasks using online collaboration tools and simulation software. Interns often participate in designing, coding, testing, or researching robotics applications under the guidance of professional mentors. Remote internships in robotics help build technical skills, industry knowledge, and professional connections without the need to relocate.

What is the difference between Internship Remote Robotics vs Remote Mechanical Engineering Intern?

AspectInternship Remote RoboticsRemote Mechanical Engineering Intern
Required CredentialsRelevant coursework, basic programming skills, some technical knowledgeEngineering fundamentals, CAD proficiency, basic physics knowledge
Work EnvironmentRemote, often collaborative with robotics teams or labsRemote, collaborating on mechanical design projects or simulations
Industry UsageRobotics companies, research labs, tech startupsManufacturing, product design, engineering firms
Search & Comparison IntentFocus on robotics-specific skills and projectsFocus on mechanical design and engineering tasks

Internship Remote Robotics typically involves working on robotics projects, programming, and automation, requiring knowledge of robotics systems. Remote Mechanical Engineering Internships focus on mechanical design, CAD modeling, and physics-based tasks. Both are remote, but they target different technical skills and industries, making them distinct career paths within engineering.

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Internship Remote Robotics jobs near you
Senior Machine Learning Engineer, Prediction & Planning, System Architecture

Senior Machine Learning Engineer, Prediction & Planning, System Architecture

Waymo

San Francisco, CA • On-site, Remote

$213K - $263K/yr

Other

Posted 14 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

The system architecture team handles the onboard contract of the model with the system, including kinematics, interfaces and representations.Our team's mission is to work across the stack, building the best setup for the model to drive. We tackle this through projects in data, modeling, metrics, and the overall planner system.

In this hybrid role, you will report to a Technical Lead Manager.

You will:

  • Tackle challenging real-world problems with ML and engineering solutions.
  • Use state of the art techniques to design and build ML models, deploy them in the real world on production vehicles
  • Design and build the necessary architectures, algorithms, pipelines and evaluation systems on Google's extensive data infrastructure
  • Collaborate with researchers, product area owners and engineers to develop safe, smooth planning behavior for all road users & deliver product requirements.

You have:

  • Bachelors in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
  • Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
  • Proficient programming skills (eg: Python, C/C++)
  • Strong analytical and problem solving skills
  • 4+ years of experience in Machine Learning modeling and/or Autonomous Vehicles systems

We prefer:

  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
  • Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
  • Prior software development or ML research industry experience (including internships)
  • General software engineering experience solving motion planning or related robotics problems
  • Experience applying or evaluating ML-based systems in production environments
  • Experience with performance optimization of deep models, including with respect to specific hardware architectures

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$213,000—$263,000 USD

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