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Internship Robotics Control Jobs in Arizona (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 ...

HiredFirst

Pharmacist

Peridot, AZ · On-site

$3K - $3.10K/wk

... control substances according to policy and law and in a timely manner they need to be able to ... Our pharmacy staff give back to the profession through preceptorship of pharmacy interns, pharmacy ...

Radwell International

Technician

Phoenix, AZ

... control devices. Responsibilities include advanced troubleshooting to the component level ... robotics systems when applicable METRICS · On Time Delivery · Units per day · Rate of return · ...

New

KLA Corporation

Technical Support Engineer

Phoenix, AZ · On-site

$32.50 - $55.25/hr

... motion control with worldwide service engineers, 24/7 technical support teams and knowledge ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Orbotech

Technical Support Engineer

Phoenix, AZ

$32.50 - $55.25/hr

... motion control with worldwide service engineers, 24/7 technical support teams and knowledge ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

KLA Corporation

Technical Support Engineer

Phoenix, AZ · On-site

$32.50 - $55.25/hr

... motion control with worldwide service engineers, 24/7 technical support teams and knowledge ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

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Internship Robotics Control information

What are the key skills and qualifications needed to thrive as an Internship Robotics Control, and why are they important?

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 types of projects and responsibilities can I expect during an Internship in Robotics Control?

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 Internship Robotics Control positions?

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 Arizona? For Internship Robotics Control jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Internship Robotics Control jobs in Arizona look for? The top searched job categories for Internship Robotics Control jobs in Arizona are:
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Internship Robotics Control jobs near you

Research Scientist, Learnable Planner

Waabi

Phoenix, AZ • On-site, Remote

$158K - $269K/yr

Full-time

Posted 15 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. 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.