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Hourly Ros Developer Jobs (NOW HIRING)

Equipment Maintenance

Chino, CA · On-site

$20 - $30/hr

... Engineer Location: Chino, CA Employment Type: Full-Time Hourly Pay Range: $20.00 - $30.00 per hour ... Familiarity with PLC, ROS/ROS2, Linux, CAN, Modbus, or related technologies is preferred. * Good ...

Posted today

... engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading ... ROS/ROS2, sensor integration, CAD (OpenSCAD/Onshape/SolidWorks), or 3D printing. * Able to work on ...

... engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading ... ROS/ROS2, sensor integration, CAD (OpenSCAD/Onshape/SolidWorks), or 3D printing. * Able to work on ...

Sr. Program Manager

East Farmingdale, NY

$121K - $121K/yr

... Project Engineers, QA Engineers, Planners, Buyers, Production Control), Profit and Loss ... East Farmingdale, NY Salary/hourly rate: $144,100 to $175,000 Please note that the salary range ...

... Project Engineers, QA Engineers, Planners, Buyers, Production Control), Profit and Loss ... East Farmingdale, NY Salary/hourly rate: $125,300 to $150,000 Please note that the salary range ...

Sr. Program Manager

East Farmingdale, NY · On-site

$121K - $121K/yr

... Project Engineers, QA Engineers, Planners, Buyers, Production Control), Profit and Loss ... East Farmingdale, NY Salary/hourly rate: $144,100 to $175,000 Please note that the salary range ...

The intern will collaborate with engineers to build the foundations necessary for successful RL ... Familiarity or experience with Robot Operating System (Ros), Reinforcement Learning and simulation ...

... Project Engineers, QA Engineers, Planners, Buyers, Production Control), Profit and Loss ... East Farmingdale, NY Salary/hourly rate: $125,300 to $150,000 Please note that the salary range ...

The intern will collaborate with engineers to build the foundations necessary for successful RL ... Familiarity or experience with Robot Operating System (Ros), Reinforcement Learning and simulation ...

Be Seen First

This is hands-on technical work embedded with engineers, not a desk job and not a generic driving ... Familiarity with sensor systems, CAN bus, ROS, Linux, or vehicle networking What we offer * Hourly ...

Showing results 21-40

Hourly Ros Developer information

What is an hourly ROS developer?

Hourly ROS Developers are software professionals who specialize in developing with the Robot Operating System (ROS) and are hired on an hourly basis. They work on robotics projects, often implementing, testing, and integrating software modules using ROS for tasks such as robot navigation, perception, or manipulation. Hiring ROS developers on an hourly basis offers flexibility for companies or individuals needing expertise for specific tasks or short-term projects without committing to a full-time hire. This arrangement is common in startups, research labs, or companies experimenting with robotics solutions.

What skills and qualifications are needed to thrive as an hourly ROS developer?

To thrive as an Hourly ROS Developer, you need strong programming skills (typically in Python and C++), a solid understanding of robotics concepts, and experience working with the Robot Operating System (ROS). Proficiency with ROS tools, simulation environments like Gazebo, and version control systems such as Git is commonly expected. Strong problem-solving abilities, adaptability, and effective communication are valuable soft skills in this role. These competencies are vital for efficiently developing, testing, and deploying robotic solutions in dynamic, project-based environments.

What are common challenges faced by hourly ROS developers when working on robotics projects?

Hourly ROS Developers often encounter challenges such as integrating diverse hardware components, managing real-time data flow, and ensuring robust communication between ROS nodes. Since the projects may be short-term or contract-based, quickly understanding legacy codebases and adapting to different teams' workflows is essential. Collaboration with hardware engineers and other software developers is frequent, requiring strong communication skills to resolve issues efficiently and deliver reliable robotic systems within tight deadlines.

What is the difference between Hourly Ros Developer vs ROS Engineer?

AspectHourly ROS DeveloperROS Engineer
CredentialsTypically requires ROS certification or relevant experienceRequires ROS certification, engineering degree, or related credentials
Work EnvironmentFreelance, contract, or part-time projectsFull-time employment in robotics companies or research labs
Industry UsageUsed across various industries for short-term or project-based workCommonly employed in robotics development and research teams

Hourly ROS Developers focus on short-term, flexible projects often on a freelance basis, while ROS Engineers typically work full-time in structured environments developing robotic systems. Both roles require ROS knowledge and certifications, but their work settings and employment types differ significantly.

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Infographic showing various Hourly Ros Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 55% Full Time, 38% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

NVIDIA 2027 Internships: Autonomous Vehicles and Robotics

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Posted 22 days ago


Key responsibilities

  • Develop and train deep neural networks for path generation in autonomous vehicles.

  • Collect training datasets and perform real-time inference testing using simulators and in-vehicle tests.

  • Build the fundamental infrastructure and software platforms for robotics systems, including working at the core of the software system.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

By submitting your resume, you acknowledge that your 2027 Autonomous Vehicles and Roboticsinternship 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 Autonomous Vehicles and Robotics teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.

Potential Internships in this field include:

Autonomous Vehicles

  • Developing and training state-of-the-art Deep Neural Networks for path generation
  • Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests
  • Course or internship experience related to the following areas could be required: Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation

Robotics

  • Building the fundamental infrastructure and software platforms of our system, working at the very heart of the software system, which will power every robot and application built with Isaac
  • Course or internship experience related to the following areas could be required: Robotics, Autonomous Vehicles, Validation Frameworks for Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies

What we need to see:

  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer 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 role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, C++17, CUDA, ROS, Python, OpenGL, Linux, Sensor Input Devices (LiDAR, cameras, radars), Training Frameworks (TensorFlow, Keras, PyTorch)

Click here to 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 20 USD - 71 USD.

You will also be eligible for Internbenefits.

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