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Internship Marine Robotics Engineer Jobs in Arizona

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in ... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ...

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in ... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ...

Maintain the robotic systems including all mechanical, electrical and electrical components to ... PLC/DCS programming, troubleshooting, and repair. Repair electrical and electronic systems ...

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a ...

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a ...

Internship experience in accounting/Finance * Knowledge of GAAP accounting standards (preferred ... robotics, and heavy equipment. Our product portfolio addresses modern power and signal requirements ...

Bachelor's degree in Accounting, Finance, or related field Internship experience in accounting ... robotics, and heavy equipment. Our product portfolio addresses modern power and signal requirements ...

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Internship Marine Robotics Engineer information

What does an internship marine robotics engineer do?

An Internship Marine Robotics Engineer assists in designing, building, and testing robotic systems used in underwater environments. They often work with a team to develop and maintain autonomous underwater vehicles (AUVs) or remotely operated vehicles (ROVs) for research, exploration, or industry applications. Interns may help with programming, data analysis, sensor integration, and system troubleshooting. This role provides hands-on experience in both robotics engineering and marine technology, preparing students for future careers in the field.

What types of projects and tasks can I expect to work on during an internship marine robotics engineer role?

As a Marine Robotics Engineering intern, you can expect to be involved in projects such as developing and testing underwater vehicles, assisting with sensor integration, and performing data analysis from field trials. Typical responsibilities include supporting prototype assembly, participating in sea trials, troubleshooting robotic systems, and collaborating with multidisciplinary teams comprising mechanical, electrical, and software engineers. This hands-on experience provides exposure to both laboratory and field environments, offering valuable insight into the full development cycle of marine robotic systems.

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

To thrive as an Internship Marine Robotics Engineer, you need a foundation in mechanical, electrical, or computer engineering principles, often supported by coursework or project experience in robotics or marine technology. Familiarity with CAD tools, programming languages (such as Python or C++), and robotic simulation or control systems is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help interns excel in collaborative, research-driven environments. These skills and qualities are crucial for designing, testing, and troubleshooting innovative marine robotic systems in real-world applications.

What is the difference between Internship Marine Robotics Engineer vs Marine Robotics Technician?

AspectInternship Marine Robotics EngineerMarine Robotics Technician
Required CredentialsEnrolled in or recent graduate of engineering or robotics programTechnical diploma or associate degree in marine technology or robotics
Work EnvironmentResearch labs, development projects, field testingMaintenance, repair, and operation of marine robotic systems
Employer & Industry UsageMarine research institutions, universities, R&D departmentsMaritime companies, defense contractors, marine service providers

Internship Marine Robotics Engineers typically focus on designing and developing marine robotic systems during their training, while Marine Robotics Technicians handle the hands-on maintenance and operation of these systems. Both roles are essential in the marine robotics industry but differ in experience level and responsibilities.

What are the most commonly searched types of Marine Robotics Engineer jobs in Arizona?

The most popular types of Marine Robotics Engineer jobs in Arizona are:

What cities in Arizona are hiring for Internship Marine Robotics Engineer jobs?

Cities in Arizona with the most Internship Marine Robotics Engineer job openings:

Infographic showing various Internship Marine Robotics Engineer job openings in Arizona as of June 2026, with employment types broken down into 8% Internship, 68% Full Time, 8% Part Time, and 16% Temporary. Highlights an 100% In-person job distribution.

Research Scientist, Learnable Planner

Waabi

Phoenix, AZ • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 25 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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