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Internship Autonomous Systems Engineer Jobs in Phoenix, AZ

Viasat, Inc.

Systems Engineer

Tempe, AZ · On-site

$117K - $176K/yr

As a Systems Engineer, you will play a pivotal role, recognized for approachability and serving as ... Work autonomously and collaboratively within a dynamic, fast-paced environment, where quick ...

Symbotic

System Engineer

Buckeye, AZ · On-site

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

Symbotic

System Engineer

Buckeye, AZ

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS ...

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

Lead AI Engineer Location: Phoenix AZ/Sunrise FL its day 1 onsite Duration: Long term Skill Set: AI ... Evaluation, observability, and safety tooling for autonomous systems * Lead technical design ...

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How much do internship autonomous systems engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for internship autonomous systems engineer in Phoenix, AZ is $25.24, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $28.65 per hour, depending on experience, location, and employer.

What is an internship autonomous systems engineer?

Internship Autonomous Systems Engineers are students or recent graduates who work temporarily with a company to gain hands-on experience in designing, developing, and testing autonomous systems, such as self-driving vehicles or robotics. Their responsibilities typically include assisting with software development, data analysis, simulation, and integration of sensors and control systems. This internship provides practical exposure to cutting-edge technologies and helps interns develop technical and problem-solving skills relevant to autonomous systems engineering.

What are the key skills and qualifications needed to thrive as an internship autonomous systems engineer?

To thrive as an Internship Autonomous Systems Engineer, you need a solid foundation in robotics, control systems, programming (often Python/C++), and a relevant engineering or computer science background. Familiarity with tools such as ROS (Robot Operating System), simulation platforms (like Gazebo), and version control systems (e.g., Git) is highly valued. Strong problem-solving abilities, teamwork, and clear communication help interns excel in collaborative, fast-paced engineering environments. These competencies are crucial for effectively contributing to the development and testing of autonomous technologies while learning from experienced professionals.

What types of projects and technologies can I expect to work with as an internship autonomous systems engineer?

As an Autonomous Systems Engineer intern, you will typically engage in hands-on projects involving robotics, sensor integration, computer vision, and machine learning algorithms. You may contribute to developing, testing, and optimizing autonomous navigation systems or simulation environments. Interns often collaborate closely with multidisciplinary teams of software, hardware, and systems engineers, gaining exposure to real-time problem-solving and rapid prototyping. This experience provides valuable insight into industry-standard tools and practices, setting a strong foundation for a career in autonomous systems.

What is the difference between Internship Autonomous Systems Engineer vs Internship Robotics Engineer?

AspectInternship Autonomous Systems EngineerInternship Robotics Engineer
CredentialsRelevant coursework, basic certifications in autonomous systems or roboticsSimilar credentials, often with focus on robotics or control systems
Work EnvironmentAutonomous vehicle labs, research centers, tech companiesRobotics labs, manufacturing facilities, research institutions
Industry UsageAutonomous vehicle development, aerospace, defenseManufacturing, service robots, research projects

Both roles involve working with cutting-edge technology, but the Internship Autonomous Systems Engineer focuses on autonomous vehicle and system integration, while the Internship Robotics Engineer emphasizes robot design and control systems. The choice depends on your specific interest in autonomous navigation versus robotic hardware development.

What are the most commonly searched types of Autonomous Systems Engineer jobs in Phoenix, AZ?

The most popular types of Autonomous Systems Engineer jobs in Phoenix, AZ are:

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For Internship Autonomous Systems Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

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Internship Autonomous Systems Engineer jobs near you
Infographic showing various Internship Autonomous Systems Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $52,492 per year, or $25.2 per hour.

Systems Engineer I

Array Technologies, Inc.

Chandler, AZ

Full-time

Posted 15 days ago

Job description

Job Description:


Systems Engineer

Job Summary:

This role supports the Research and Technology team focused on next generation solar tracking systems. You will assist in evaluating the load resistance, stability, and performance of mechanical and structural systems. You will learn to apply fundamental engineering principles and support the development of design methods and tools.

You will work within a systems engineering team and collaborate with component engineers, sustaining engineers, and performance engineers. You will contribute to analysis, modeling, and testing activities under guidance from senior engineers.

Typical work includes supporting system models, assisting with analysis using standard tools, and helping evaluate test results against analytical models.

Key Job Responsibilities:

  • Support development of engineering test plans for tracker systems and subsystems.

  • Assist with data collection, analysis, and interpretation of test results.

  • Help correlate test data with engineering models to improve accuracy.

  • Operate existing engineering tools and support updates or enhancements.

  • Assist in performing mechanical and structural analysis using FEA or similar tools.

  • Contribute to development of models using basic principles of statics and dynamics.

  • Support optimization studies under direction of senior engineers.

  • Document results, assumptions, and findings clearly.

  • Collaborate with cross functional teams to support product development.

  • Perform other duties as assigned.

Qualifications:

  • Bachelor's degree in Mechanical Engineering required.

  • 0 to 2 years of relevant experience, internship or academic project experience accepted.

  • Basic understanding of statics, dynamics, and mechanical systems.

  • Exposure to FEA or simulation tools through coursework or internships.

  • Exposure to programming or scripting, such as Python, is preferred but not required.

  • Strong analytical and problem solving skills.

  • Ability to follow structured processes and engineering procedures.

  • Effective written and verbal communication skills.

  • Ability to work in a team environment and take direction from senior engineers.

Preferred qualifications:

  • Internship or project experience related to structural or mechanical analysis.

  • Exposure to renewable energy or solar technologies.

  • Familiarity with CAD tools or basic modeling techniques.

  • Interest in learning simulation tools such as FEA or MBD.

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At Array Tech, Inc., we strive to lead with our culture, and believe that our people are a key enabler of our future state. Our total rewards philosophy supports Array's ability to attract, develop, and retain our employees. We offer competitive compensation, benefits and wellness programs that align with the local markets where we do business.

Array Tech, Inc. offers equal employment opportunity without regard to race, color, gender, age, creed, sex, religion, national origin, disability (physical or mental), marital status, citizenship, ancestry, sexual orientation, gender identity, and gender expression, or any other legally protected status.

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