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

As of Aug 18, 2026, the average hourly pay for internship autonomous systems engineer in Halethorpe, MD is $24.82, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $28.17 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 job categories do people searching Internship Autonomous Systems Engineer jobs in Halethorpe, MD look for?

The top searched job categories for Internship Autonomous Systems Engineer jobs in Halethorpe, MD are:

What cities near Halethorpe, MD are hiring for Internship Autonomous Systems Engineer jobs?

Cities near Halethorpe, MD with the most Internship Autonomous Systems Engineer job openings:

Internship Autonomous Systems Engineer jobs near you
Infographic showing various Internship Autonomous Systems Engineer job openings in Halethorpe, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $51,635 per year, or $24.8 per hour.

Senior Robotics Engineer for Tailored Autonomous Systems Group

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

$103K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 73 rated research

Job description

Description
Are you passionate about robotics, autonomous systems, and advanced mission capabilities?
Do you enjoy leading multidisciplinary teams through the development, integration, and transition of complex autonomous systems?
Are you interested in shaping the future of robotics and autonomy for critical national security missions?
The Tailored Autonomous Systems Group (QPJ) is seeking a Senior Robotics & Autonomous Systems Engineer to provide technical leadership for the design, development, integration, testing, and deployment of advanced robotic and autonomous systems. Our team develops low-size, weight, and power (SWaP) robotic platforms and autonomy solutions that operate in challenging and dynamic environments.
As a senior member of the team, you will serve as a technical leader across multiple projects, working closely with sponsors, engineers, and researchers to define system architectures, guide technical execution, and transition advanced capabilities into operational use. You will help shape the strategic direction of QPJ's robotics and autonomy portfolio while contributing directly to the nation's most challenging mission problems.
As a Senior Robotics & Autonomous Systems Engineer, you will...
  • Lead multidisciplinary engineering teams through system architecture, requirements development, integration, test, and transition activities for advanced autonomous systems.
  • Serve as a technical lead, chief engineer, or senior systems engineer on autonomy-focused development efforts.
  • Lead system architecture development, interface definition, requirements allocation, and technical baseline management across hardware, software, sensing, communications, and autonomy subsystems.
  • Conduct and lead technical trade studies, design reviews, risk assessments, and performance analyses to support critical program decisions.
  • Lead verification, validation, and test activities, including simulation, hardware-in-the-loop (HWIL), laboratory integration, and field experimentation.
  • Guide development of autonomy capabilities including perception, planning, navigation, controls, decision-making, and multi-agent coordination.
  • Interface directly with government sponsors, performers, and stakeholders to define technical objectives, communicate progress, and shape future program direction.
  • Mentor junior engineers and researchers in systems engineering, robotics, and autonomy development.
  • Support proposal development, strategic planning, and business development activities that expand group's technical portfolio.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a Bachelor's degree in Robotics, Mechanical Engineering, Electrical Engineering, Systems Engineering, Aerospace Engineering, Computer Science, Computer Engineering, or a related technical field.
  • Have at least 8 years of relevant professional experience developing, integrating, testing, or fielding complex engineering systems.
  • Have experience leading technical teams through system design, development, prototyping, integration, and test activities.
  • Have experience developing and integrating robotic systems, autonomous systems, embedded systems, or other mission-critical technologies.
  • Have experience conducting system-level trade studies, technical risk management, and performance analyses.
  • Have strong technical communication skills and experience presenting technical information to sponsors and senior leadership.
  • Have experience programming in Python, C++, or similar languages.
  • Are able to obtain an interim Top Secret level security clearance by your start date and ultimately obtain a TS/SCI clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Have a Master's degree or Ph.D. in Robotics, Systems Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or a related field.
  • Have experience serving as a Technical Lead, Chief Engineer, Principal Investigator, or Project Manager on advanced technology programs.
  • Have demonstrated experience leading systems engineering activities including requirements development, architecture definition, integration, verification, validation, and transition.
  • Have experience applying Model-Based Systems Engineering (MBSE) tools and methodologies, including SysML and Digital Engineering practices.
  • Have experience developing autonomous systems, robotic platforms, uncrewed aerial systems (UAS), uncrewed ground vehicles (UGV), maritime systems, or distributed autonomous systems.
  • Have expertise in perception, SLAM, planning, controls, AI/ML, human-machine teaming, or multi-agent autonomy.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$290,000 Annually

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