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Internship Robotics Control Jobs in Seattle, WA (NOW HIRING)

SpaceX

Automation & Controls Engineer (Starlink)

Redmond, WA · On-site

$115K - $165K/yr

Implement vision systems for robotic guidance, quality control and data collection * Design systems ... internships and project work are applicable) PREFERRED SKILLS AND EXPERIENCE: * Proven ability to ...

SpaceX

Automation & Controls Engineer (Starlink)

Redmond, WA · On-site

$115K - $165K/yr

Implement vision systems for robotic guidance, quality control and data collection * Design systems ... internships and project work are applicable) PREFERRED SKILLS AND EXPERIENCE: * Proven ability to ...

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Internship Robotics Control information

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$10

$19

$27

How much do internship robotics control jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship robotics control in Seattle, WA is $19.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What is an internship robotics control?

Internship Robotics Control positions are entry-level opportunities for students or recent graduates to gain hands-on experience working with robotic systems, focusing on programming, designing, and testing control algorithms. These internships typically involve collaborating with experienced engineers to develop software or hardware that helps control the movement and operation of robots. They offer practical exposure to fields like automation, artificial intelligence, and mechatronics. Interns may work on real-world projects, use tools like ROS (Robot Operating System), and learn to optimize robot performance in various environments.

What does an internship robotics control do?

As an intern in Robotics Control, you will typically work on projects involving the programming, testing, and optimization of robotic systems. Responsibilities often include assisting with algorithm development, calibrating sensors and actuators, and supporting troubleshooting efforts for hardware and software issues. You may collaborate closely with engineers, research scientists, and other interns, contributing to real-time control experiments, data analysis, and documentation tasks. This hands-on experience provides valuable exposure to the robotics workflow and offers opportunities to develop both technical and teamwork skills in a collaborative environment.

What are the key skills and qualifications needed to thrive as an internship robotics control?

To thrive in an Internship Robotics Control position, you generally need a background in engineering or computer science and foundational knowledge of robotics, control systems, and programming languages such as Python or C++. Familiarity with tools and environments like ROS (Robot Operating System), MATLAB/Simulink, and microcontroller platforms is typically required. Strong problem-solving skills, eagerness to learn, and effective teamwork set exceptional interns apart in this field. These skills and qualities are crucial for successfully contributing to robotics projects, adapting to new technologies, and collaborating on innovative solutions.

What is the difference between Internship Robotics Control vs Robotics Technician?

AspectInternship Robotics ControlRobotics Technician
CredentialsTypically pursuing or recent graduate of engineering or robotics programsAssociate's or bachelor's degree in robotics, electronics, or related fields
Work EnvironmentEducational settings, labs, or entry-level industry projectsManufacturing facilities, research labs, or industrial settings
Job FocusLearning, assisting, and gaining experience in robotics control systemsMaintaining, troubleshooting, and operating robotic systems
Industry UsageInternship programs, training, and entry-level rolesFull-time technical roles in robotics and automation

In summary, Internship Robotics Control is an entry-level, learning-focused position aimed at students or recent graduates gaining experience in robotics control systems. Robotics Technicians are more experienced professionals responsible for maintaining and troubleshooting robotic equipment in industrial or research environments.

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Research Scientist, Robotics Research - PhD New College Grad 2026

Nvidia Corporation

Seattle, WA • On-site

Full-time

Re-posted 8 days ago

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

NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research strives to transform research paradigms, transfer into NVIDIA's robotics and simulation products, and build new robotics markets for the world.
The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cuRobo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and use the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine. The team is targeting several grand challenges in robotics and is aiming to achieve never-before-seen capabilities within 2-3 years. We are looking for research scientists to play a pivotal role in these efforts. These scientists must have outstanding research and engineering skills, a proven research track record, strong supporting references, and a team-first approach.
What you will be doing:
  • Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications;
  • Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;
  • Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;
  • Engaging with the academic community through high-impact publications, conferences, workshops, and code releases;
  • Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact;
  • Mentoring interns joining NVIDIA during their PhD programs.

What we need to see:
  • Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
  • A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP.
  • Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus.
  • Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams.
  • Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.

The following research areas and applications are of particular interest:
  • Bimanual and dexterous manipulation
  • Mobile manipulation and humanoid loco-manipulation
  • Multisensory perception (e.g., vision, tactile, and force/torque sensing)
  • Simulation, sim-to-real, and real-to-sim
  • Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning
  • Industrial applications, such as bin-picking, kitting, and assembly

The Seattle Robotics Lab is now located in a brand-new office in the vibrant Fremont neighborhood of Seattle.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 28, 2026.
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

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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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