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Internship Robotics Control Jobs in Phoenix, AZ (NOW HIRING)

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in ... control, optimization based approaches, search methods, probabilistic decision making ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in ... control, optimization based approaches, search methods, probabilistic decision making ...

Actalent

Field Service Engineer

Phoenix, AZ

Apply knowledge of mechanical assemblies, sensors, motors, drives, pneumatics, motion control ... robotics, or electromechanical systems (excluding internships, school projects, and academic lab ...

Actalent

Field Service Engineer

Phoenix, AZ

Apply knowledge of mechanical assemblies, sensors, motors, drives, pneumatics, motion control ... robotics, or electromechanical systems (excluding internships, school projects, and academic lab ...

INTEL

Process Integration Engineer

Phoenix, AZ

... bake, development, defect control, CD / uniformity impacts, and process window sensitivity ... Hands-on experience with preventive maintenance, module recovery, nozzle / dispense checks, robot ...

INTEL

Seniconductor Process Engineer

Phoenix, AZ

... bake, development, defect control, CD / uniformity impacts, and process window sensitivity ... Hands-on experience with preventive maintenance, module recovery, nozzle / dispense checks, robot ...

INTEL

Process Engineer - RF Test

Phoenix, AZ

... bake, development, defect control, CD / uniformity impacts, and process window sensitivity ... Hands-on experience with preventive maintenance, module recovery, nozzle / dispense checks, robot ...

INTEL

Packaging Engineer

Phoenix, AZ

... bake, development, defect control, CD / uniformity impacts, and process window sensitivity ... Hands-on experience with preventive maintenance, module recovery, nozzle / dispense checks, robot ...

INTEL

Yield Engineer

Phoenix, AZ

... bake, development, defect control, CD / uniformity impacts, and process window sensitivity ... Hands-on experience with preventive maintenance, module recovery, nozzle / dispense checks, robot ...

All JobsRobotics Control JobsInternship Robotics Control JobsInternship Robotics Control Jobs in Phoenix, AZ

Internship Robotics Control information

See Phoenix, AZ salary details

$9

$17

$23

How much do internship robotics control jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship robotics control in Phoenix, AZ is $17.18, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.09 per hour, depending on experience, location, and employer.

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 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 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 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.

What are popular job titles related to Internship Robotics Control jobs in Phoenix, AZ? For Internship Robotics Control jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Internship Robotics Control jobs in Phoenix, AZ look for? The top searched job categories for Internship Robotics Control jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Internship Robotics Control jobs? Cities near Phoenix, AZ with the most Internship Robotics Control job openings:
Internship Robotics Control jobs near you
Infographic showing various Internship Robotics Control job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,739 per year, or $17.2 per hour.

Research Scientist, Learnable Planner

Waabi

Phoenix, AZ • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 12 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Design and execute on a research agenda for deep-learning based motion planning for self-driving.
- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
 
Qualifications:
- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.
- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Previous experience in self-driving technology. 
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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