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Autonomous Systems Jobs in Maryland (NOW HIRING)

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Autonomous Systems information

See Maryland salary details

$44.6K

$99.1K

$148.5K

How much do autonomous systems jobs pay per year?

As of Aug 20, 2026, the average yearly pay for autonomous systems in Maryland is $99,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $121,300.00 per year, depending on experience, location, and employer.

What is an autonomous system?

An Autonomous Systems job involves designing, developing, and maintaining self-operating technologies, such as drones, self-driving cars, and robotic systems. Professionals in this field work on AI, machine learning, sensor fusion, and control systems to enable machines to make decisions and operate without human intervention. Roles may include software engineers, roboticists, and data scientists, often collaborating to improve system reliability and efficiency. These jobs are common in industries like defense, transportation, manufacturing, and healthcare.

What are the key skills and qualifications needed to thrive in an autonomous systems position?

To excel in an Autonomous Systems role, candidates typically need expertise in robotics, computer vision, control systems, and programming languages such as Python or C++, often supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms, and relevant certifications (e.g., in AI or machine learning) is highly valued. Strong problem-solving skills, adaptability, and effective teamwork enhance performance in this multidisciplinary environment. These abilities are essential for innovating, troubleshooting, and successfully deploying autonomous solutions in real-world settings.

What are some common challenges faced by professionals working in autonomous systems?

Professionals in Autonomous Systems often encounter challenges related to integrating complex hardware and software, ensuring system reliability in dynamic environments, and maintaining safety and compliance with industry standards. Debugging and testing autonomous solutions can be demanding due to unpredictable real-world variables and evolving technical requirements. Collaboration with cross-functional teams is crucial, as roles often involve coordinating with engineers, data scientists, and product managers. Successfully navigating these challenges helps drive innovation and ensures the successful deployment and operation of advanced autonomous technologies.

What career pathways exist in autonomous systems?

Career pathways in autonomous systems include roles such as autonomous systems engineer, robotics engineer, software developer, sensor integration specialist, and systems analyst. These positions often require skills in programming, control systems, machine learning, and experience with tools like ROS or MATLAB. Opportunities exist in industries like automotive, aerospace, defense, and research institutions.

What do autonomous systems engineers do?

Autonomous systems engineers design, develop, and test systems that enable machines or vehicles to operate independently, such as self-driving cars or drones. They work with robotics, sensors, control algorithms, and software integration, often using programming languages like C++ or Python and tools such as simulation environments. Their role involves ensuring safety, reliability, and efficiency of autonomous operations through rigorous testing and system optimization.

What are the most commonly searched types of Autonomous Systems jobs in Maryland?

The most popular types of Autonomous Systems jobs in Maryland are:

What are popular job titles related to Autonomous Systems jobs in Maryland?

For Autonomous Systems jobs in Maryland, the most frequently searched job titles are:

Infographic showing various Autonomous Systems job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $99,060 per year, or $47.6 per hour.

Robotics Engineer for Tailored Autonomous Systems

Johns Hopkins Applied Physics Lab

Laurel, MD • On-site

$85 - $195/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Description

Are you passionate about robotics, autonomous systems, and advanced mission capabilities?

Do you enjoy collaborating with 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 Robotics & Autonomous Systems Engineer to help us develop, implement and field mission‑tailored autonomous systems that perform sensing, decision‑making, and coordinated action in complex operational environments. Our work spans perception, autonomy algorithms, platform behaviors, modeling and simulation, full stack development, and software deployment on resource‑constrained systems.

Responsibilities
  • You will work closely with engineers, scientists, and program managers to develop mission‑relevant autonomous systems for sponsors and end users in the defense and intelligence communities.
  • You will contribute to the architecture, design, implementation, integration, and test of autonomy systems spanning sensing, software, communications, and hardware.
  • You will develop and integrate capabilities including perception, planning, navigation, controls, AI/ML inference, and multi‑agent autonomy on resource‑constrained platforms.
  • You will participate in system architecture trades, requirements development, interface definition, and technical design reviews throughout the system lifecycle.
  • You will support verification, validation, and test activities, including simulation, hardware‑in‑the‑loop (HWIL), laboratory integration, and field experimentation.
  • You will collaborate across mechanical, electrical, software, systems, and AI/ML disciplines to deliver integrated mission capabilities.
  • You will present technical work to project teams, leadership, and sponsors, while taking increasing ownership of technical tasks and project execution.
  • You will contribute to proposal development, internal research initiatives (IRAD), and technology transition efforts that expand the group's autonomy portfolio.
Qualifications

You meet our minimum qualifications for the job if you…

  • Hold a Bachelor's degree in Robotics, Mechanical Engineering, Electrical Engineering, Systems Engineering, Aerospace Engineering, Computer Science, Computer Engineering, or another related technical field.
  • Have at least 2 years of professional experience developing, integrating, testing, or fielding robotics, autonomous systems, embedded systems, or other complex engineering systems.
  • Have experience contributing to the design, development, integration, and test of hardware and/or software systems.
  • Have experience programming in one or more languages such as Python, C++, Rust, or similar.
  • Have strong written and verbal communication skills and enjoy working in multidisciplinary engineering teams.
  • Are able to obtain an Interim Top Secret security clearance by your start date and can ultimately obtain a Top Secret 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…

  • Hold a Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Systems Engineering, Computer Science, or a related technical discipline.
  • Have experience developing robotic platforms, autonomous systems, or embedded systems for operational environments.
  • Have experience with ROS/ROS2, Gazebo, Isaac Sim, Unreal Engine, AirSim, or similar robotics simulation environments.
  • Have experience with hardware‑in‑the‑loop (HWIL) testing, digital twins, or simulation‑based system development.
  • Have experience with AI/ML, perception, planning, controls, SLAM, navigation, or multi‑agent autonomy.
  • Have experience with systems engineering, including requirements development, interface definition, system integration, verification, or technical trade studies.
  • Have experience leading small technical efforts or work packages, including coordinating technical tasks across multiple disciplines.
  • Have experience supporting proposal development or IRAD activities.
  • Have experience working directly with DoD, Intelligence Community, or other government sponsors.
  • Hold an active Top Secret security clearance.
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

$85,000 Annually

Maximum Rate

$195,000 Annually

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